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2cture.","Generate life-saving robot simulations and driving simulator inputs for immersive scenario testing."],"whereItCanBeUsed":["Traffic signal optimization.","Intersection analysis and refinement.","Traffic impact assessments for new developments.","Life-saving robot visualizations for public agencies and emergency response strategy."]}},"mesh":{"title":"3D Mesh Model and Visualisation","subtitle":"High-quality 3D mesh models of roads and urban infrastructure for advanced visualization.","features":{"howItWorks":["Uses LX data, OSM, LiDAR, and photogrammetry for 3D mesh creation.","Integrates with macro and micro simulation data in Unity for seamless visual outputs.","Allows manual mesh refinement for accurate elevation and asset placement."],"whatItCanDo":["Create high-quality visual materials for transport policy and project communication.","Support driving simulators and life-saving robot environments for safety and operational evaluation.","Enable clear scenario comparison and visualization for non-expert stakeholders."],"whereItCanBeUsed":["Urban planning and policy presentations.","Government agency and stakeholder briefings.","Life-saving robot-based public engagement and training.","Projects in Saudi, UAE, and Southeast Asia markets."]}},"digitalTwin":{"title":"Digital Twin Model","subtitle":"A real-time digital replica of traffic networks integrated with 3D visual environments.","features":{"howItWorks":["Combines macro, meso, micro-simulations, and 3D models.","Updates dynamically with scenario changes and planned infrastructure.","Connects to ITS systems for real-time traffic visualization and scenario playback."],"whatItCanDo":["Visualize future traffic impacts of developments and events.","Optimize signal timing and traffic management strategies.","Enhance stakeholder understanding through immersive scenario demonstrations."],"whereItCanBeUsed":["Smart city traffic management centers.","Large-scale event traffic control (Olympics, Expos).","Government policy testing and scenario analysis.","Public communication and life-saving robot scenario demonstrations."]}}}},"solutions":{"heroTitle":"Our Solutions","heroSubtitle":"Innovative solutions transforming urban mobility and smart cities.","learnMore":"Learn More","overviewTitle":"Transforming Urban Mobility","overviewText":"Explore our comprehensive suite of mobility solutions designed to transform urban transportation and smart city operations. Each solution represents cutting-edge technology and innovative approaches to modern mobility challenges.","solutionsTitle":"Our Solution Portfolio","items":{"nexus":{"title":"Nexus","desc":["<strong>AI-powered base-model management</strong> that turns weeks of manual updates into minutes.","Automated validation, scenario testing, and comparative KPI dashboard \u2014 <strong>100% secure on-premise</strong>.","Zero learning curve, real-time updates, side-by-side scenario analysis with <strong>customizable performance indicators</strong>."]},"prism":{"title":"Prism","desc":["<strong>Vissim validation dashboard</strong> that visualises model and observed data directly on the map.","Comparative scenario analysis with <strong>signal phases, flow bands, and KPIs</strong> unified in one view.","One-click professional reports and an <strong>AI assistant</strong> for parameter changes via natural language."]},"vista":{"title":"Vista","desc":["Streams <strong>Vissim high-fidelity simulation data</strong> into a Unity 3D environment in real time.","Python-to-Vissim bridge over a <strong>high-speed UDP channel</strong> with synchronized vehicle trajectories.","Interactive web UI with <strong>intersection nodes</strong> for instant access to live performance metrics."]},"trafficAnalysis":{"title":"Traffic Impact Analysis","desc":["Analyze <strong>traffic conditions</strong> and scenario-based response strategies.","Analyze <strong>policies and traffic response strategies</strong>; optimize traffic flow.","Dashboard-type interface enhances <strong>user accessibility</strong> and analytical comprehension."]},"trafficSimulationModelling":{"title":"Traffic Simulation Modelling","desc":["<strong>Multi-scale modelling</strong> across macro, meso, and micro for policy, planning, and operations.","<strong>Visum\u2013Vissim automated integration</strong> with one-click analysis workflows.","LLM-assisted prediction, co-simulation with Unity, and <strong>hardware-in-the-loop</strong> setups."]},"drivingSimulator":{"title":"Driving Simulator","desc":["Test drive <strong>actual or planned roads</strong> in virtual environments to identify issues.","Verify and refine <strong>road design functionalities</strong>.","Can be used as part of educational programs for <strong>safe driving and design validation</strong>."]},"multimodal":{"title":"Multimodal Simulator","desc":["<strong>Integrated multimodal simulation tool</strong> reflecting interaction between various transportation modes.","Connect with <strong>simulator hardware</strong> to test diverse scenarios in virtual environments.","Build foun
2dational datasets for <strong>autonomous vehicle development</strong>."]},"teleDriving":{"title":"Tele-driving","desc":["<strong>Remote driving support</strong> for autonomous vehicles during exceptional circumstances.","Allows <strong>human intervention</strong> when autonomous driving faces limitations (heavy snow, construction zones).","Applicable in mobility services, <strong>logistics</strong>, and military operations."]},"digitalTwin":{"title":"Digital Twin","desc":["<strong>Real-time digital replica</strong> of traffic networks integrated with 3D visual environments.","<strong>Unity-based rendering system</strong> reduces <em>production time by 70%</em>.","Enables <strong>real-time urban operations</strong>, accident response, and <strong>policy analysis</strong>."]}},"remoteDriving":{"hero":{"title":"Tele-driving","subtitle":"Advanced remote control handoff system for autonomous vehicles during system malfunctions and exceptional circumstances."},"overview":{"title":"Overview","shortDemo":"Prototype Tele-Driving between Deajeon and Jeju","shortDemoDesc":"Demonstration of <strong>rapid remote control handoff</strong> during autonomous system failures, showcasing <em>response times</em> and <strong>safety protocols</strong>.","longDemo":"Comprehensive System Demo","longDemoDesc":"In-depth showcase of <strong>remote driving capabilities</strong>, including <em>adverse weather operations</em>, <strong>restricted zone navigation</strong>, and <em>seamless integration</em> with autonomous vehicle systems.","RD-1":"Remote Driving in KAIST Campus","RD-1Desc":"Showcasing <strong>remote driving technology</strong> in a controlled campus environment for the first time between indoor and outdoor.","playVideo":"Play Video"},"technical":{"title":"Technical Details","specsTitle":"Specifications & Technology","spec1":"<strong>Remote control handoff system</strong> during AV malfunction","spec2":"Works in adverse weather and <em>restricted zones</em>","spec3":"Integrated with AV stack via <strong>tele-driving module</strong>","spec4":"<strong>Real-time video streaming</strong> with low latency communication","spec5":"Advanced safety protocols with <strong>emergency stop capabilities</strong>","researchTitle":"Research & Patents","patentTitle":"Related Patents","patentName":"Remote Driving Control System","applicationDate":"Application Date","patentNumber":"Patent Number","academicTitle":"Academic Links","academicInfo":"TRB 2024/25 conference papers on disengagements and human fallback systems","disclosureButton":"View Research Publications"},"useCases":{"title":"Use Cases","industriesTitle":"Target Industries","industry1":"Autonomous Vehicle Companies","industry2":"Military & Defense","industry3":"Logistics & Transportation","outcomeTitle":"Expected Outcomes","outcomeDesc":"<strong>Remote intervention</strong> ensures AV safety and enhances <strong>urban traffic reliability</strong>","scenarioTitle":"Application Scenario","scenarioStep1":"<strong>Autonomous vehicle</strong> detects obstacle before tunnel entrance","scenarioStep2":"<strong>Remote driver</strong> immediately takes control","scenarioStep3":"Safe navigation to secure location through <strong>evasive driving</strong>"},"cta":{"title":"Ready to Transform Your Mobility Solutions?","description":"Contact us to learn more about how our remote driving technology can enhance the safety and reliability of your autonomous vehicle systems.","button":"Get In Touch"}},"digitalTwinSolution":{"hero":{"title":"Digital Twin","subtitle":"Real-time digital replica of traffic networks integrated with 3D visual environments for comprehensive urban mobility management."},"overview":{"title":"Overview","demo":"Naepo Mobility Digital Twin","demoDesc":"Experience our <strong>Unity-based real-time rendering system</strong> that integrates high-fidelity traffic simulations and <strong>urban environment visualization</strong>.","dt-1":"Daejeon Articulated Bus DT","dt-1Desc":"Daejeon is planning to introduce a <strong>three-car bus system</strong>. Before implementing this new form of transportation, it\'s crucial to conduct a traffic impact analysis to develop a <strong>more efficient transportation system</strong>. The simulation results have been made more visually understandable through data visualization.","dt-2":"KAIST Campus DT","dt-2Desc":"KAIST researchers have developed the <strong>KAIST Munji DT</strong> for the first time. It renders images and cloud points to create videos that are very similar to real life","playVideo":"Play Video"},"technical":{"title":"Technical Details","specsTitle":"Specifications & Technology","spec1":"<strong>Real-time data integration</strong> (ITS, CCTV)","spec2":"Automated environmental element updates","spec3":"Integration with Driving Simulator","spec4":"<strong>Unity-based 3D rendering</strong> with <em>70% faster production</em>","spec5":"Dynamic scenario updates and <em>
2infrastructure planning</em>","researchTitle":"Research & Patents","patentTitle":"Related Patents","patentName":"Vissim-based Model-Reality Comparison Automation Tool","applicationDate":"Application Date","patentNumber":"Patent Number","academicTitle":"Academic Links","academicInfo":"Multiple conference papers on life-saving robot and emergency response applications","disclosureButton":"View Research Publications"},"useCases":{"title":"Use Cases","industriesTitle":"Target Industries","industry1":"Urban Planning","industry2":"Road Construction","industry3":"Autonomous Vehicle Testbeds","outcomeTitle":"Expected Outcomes","outcomeDesc":"<strong>Real-time urban operations</strong>, accident response, and <strong>policy analysis capabilities</strong>","scenarioTitle":"Application Scenario","scenarioStep1":"<strong>Traffic congestion prediction simulation</strong> in Naepo New City","scenarioStep2":"System automatically analyzes <strong>traffic patterns</strong> and bottlenecks","scenarioStep3":"<strong>Automatic proposal</strong> of detour strategies during accidents"},"cta":{"title":"Ready to Transform Your Urban Planning?","description":"Contact us to learn more about how our Digital Twin technology can enhance your city\'s traffic management and urban planning capabilities.","button":"Get In Touch"}},"multimodalSimulatorSolution":{"hero":{"title":"Multimodal Simulator","subtitle":"Advanced multimodal transportation simulation system with OBD & GPS integration for comprehensive traffic scenario testing."},"overview":{"title":"Overview","demo":"OBD & GPS-based Simulation Demo","demoDesc":"Experience our <strong>advanced simulation system</strong> featuring <em>OBD & GPS integration</em> with <strong>realistic NPC interactions</strong> for comprehensive multimodal transportation testing.","MO-1":"E-scooter & Autonomous Vehicle Interaction Simulation","MO-1Desc":"<strong>Comprehensive multimodal testing environment</strong> that models and simulates complex interactions between <strong>e-scooters and autonomous vehicles</strong> in urban traffic scenarios to enhance transportation safety.","MO-2":"Mobility Operating System","MO-2Desc":"An <strong>infrastructure with many sensors</strong> ensures safe driving for autonomous vehicles by <strong>orchestrating them</strong> when they are in blind spots. Virtual agents are injected to influence real vehicles, enabling them to learn and drive safely in complex urban environments.","playVideo":"Play Video"},"technical":{"title":"Technical Details","specsTitle":"Specifications & Technology","spec1":"<strong>GUI-based scenario generation</strong>","spec2":"Real-time animation with <strong>headlights and engine sounds</strong>","spec3":"<strong>Co-simulation</strong> with SUMO/VISSIM","spec4":"<strong>OBD & GPS data integration</strong>","spec5":"Advanced NPC interaction modeling","researchTitle":"Research & Patents","patentTitle":"Related Patents","patentName":"Autonomous Vehicle-Pedestrian Collision Prediction System","applicationDate":"Application Date","patentNumber":"Patent Number","academicTitle":"Academic Support","academicInfo":"Micro-mobility safety research papers (TRB, ICTCT)","disclosureButton":"View Research Publications"},"useCases":{"title":"Use Cases","industriesTitle":"Target Industries","industry1":"Autonomous Vehicle Developers","industry2":"Police Departments","industry3":"Smart City Projects","outcomeTitle":"Expected Outcomes","outcomeDesc":"<strong>Multimodal accident prediction</strong> and scenario training capabilities","scenarioTitle":"Application Scenario","scenarioStep1":"<strong>Autonomous vehicle and e-scooter</strong> intersection collision scenario","scenarioStep2":"<strong>GUI-based experimental condition</strong> setup","scenarioStep3":"Collision risk analysis and <strong>improvement strategy presentation</strong>"},"cta":{"title":"Ready to Enhance Your Transportation Safety?","description":"Contact us to learn more about how our Multimodal Simulator can improve your transportation safety testing and scenario validation.","button":"Get In Touch"}},"trafficSimulationModellingSolution":{"hero":{"title":"Traffic Simulation Modelling","subtitle":"Multi-scale simulation modelling platform \u2014 macro, meso, and micro \u2014 with one-click automation for policy evaluation, infrastru
2cture planning, and traffic operations"},"overview":{"title":"Overview","demo":"Macro scopic simulation - Shared bikes","demoDesc":"A <strong>large-scale network analysis</strong> for comprehensive traffic evaluation, demonstrated on the <strong>shared bike system</strong> operating across Daejeon.","TA-1":"Co-simulation","TA-1Desc":"<strong>VISSIM + Unity co-simulation</strong> pairs validated microscopic traffic simulation with advanced 3D rendering, enabling realistic <em>human-in-the-loop</em> virtual environments for transportation research.","TA-2":"Co-simulation with Dynanometer","TA-2Desc":"A specialized form of <strong>Hardware-in-the-Loop (HIL) simulation</strong> that pairs a physical dynamometer with virtual models \u2014 widely used in <em>automotive and aerospace</em> powertrain testing.","TA-3":"Micro simulation - EV autonomous charging station","TA-3Desc":"An <strong>autonomous EV charging station</strong> charges electric vehicles without human intervention. <em>Microsimulation</em> helps address key challenges of the growing EV market.","TA-4":"Activity Based Model for Hwaseung City in Korea","TA-4Desc":"This model simulates the <strong>autonomous vehicle level 4+</strong> rollout planned for Hwaseung City in 2027, providing insights into <em>traffic patterns</em> and urban mobility.","TA-5":"LLM-based Microscopic Traffic Analysis Tool is released NOW","TA-5Desc":"A <strong>Large Language Model (LLM)-based traffic analysis tool</strong> by <strong>Dr. Bo Wang</strong> (dochak\'s technical advisor) \u2014 leveraging GPT-4 to turn historical data, real-time sensors, and textual reports into <em>traffic insights and predictions</em>.","TA-6":"AiMoTwin Analytics V-0.1 \u2014 Development Release","TA-6Desc":"<strong>AiMoTwin Analytics V-0.1</strong> \u2014 AI-powered urban traffic analysis with <em>live base-model management</em>, automated validation, scenario testing, and a comparative KPI dashboard. Weeks of work, in minutes.","playVideo":"Play Video"},"technical":{"title":"Technical Details","specsTitle":"Specifications & Technology","spec1":"<strong>Macro:</strong> Policy evaluation capabilities","spec2":"<strong>Meso:</strong> Large-scale event and disaster response","spec3":"<strong>Micro:</strong> Signal optimization and emergency response integration","spec4":"<strong>Visum-Vissim automated integration</strong>","spec5":"Short-term traffic prediction algorithms","researchTitle":"Research & Patents","patentTitle":"Related Patents","patentName":"Multiple Visum/Vissim Validation Automation Tools","applicationDate":"Application Date","patentNumber":"Patent Number","academicTitle":"Research Foundation","academicInfo":"Bo Wang et al. short-term traffic prediction research (Nov 2023)","disclosureButton":"View Research Publications"},"useCases":{"title":"Use Cases","industriesTitle":"Target Industries","industry1":"Road Construction Companies","industry2":"Ministry of Land","industry3":"Academic Institutions","outcomeTitle":"Expected Outcomes","outcomeDesc":"<strong>Accurate traffic flow analysis</strong> and policy impact prediction","scenarioTitle":"Application Scenario","scenarioStep1":"<strong>Seoul disaster scenario</strong> assumption","scenarioStep2":"<strong>Micro+Meso integrated modeling</strong>","scenarioStep3":"Rapid reallocation and <strong>evacuation route analysis</strong>"},"cta":{"title":"Ready to Optimize Your Traffic Systems?","description":"Contact us to learn more about how our Traffic Impact Analysis tools can enhance your traffic management and policy evaluation capabilities.","button":"Get In Touch"}},"nexusSolution":{"hero":{"title":"Nexus \u2014 AI Mobility Digital Twin Operations","subtitle":"Turn weeks of manual model updates into minutes of automated work \u2014 in a <strong>100% secure on-premise environment</strong>."},"overview":{"title":"Overview","demo":"Dochak Nexus \u2014 Smart Modeling for Mobility Digital Twins","demoDesc":"Still spending weeks manually updating your traffic models? <strong>Nexus</strong> cuts the bottleneck. Select a base traffic model, define the analysis period, and click start \u2014 Nexus runs an <em>automated base-model update</em> with built-in validation, then moves seamlessly into <strong>scenario testing</strong>. Implement changes with simplified controls and see <em>real-time updates instantly</em>. Compare alternatives side by side with <strong>customizable performance indicators</strong>, all tracked on an integrated visual analytics dashboard.","playVideo":"Play Video"},"technical":{"title":"Technical Details","specsTitle":"Specifications & Technology","spec1":"<strong>Automated base-model synchronization</strong> with selectable time periods","spec2":"<em>One-click analysis</em> with built-in <strong>automated validation</strong>","spec3":"Intuitive scenario controls with <strong>zero learning curve</strong> and real-time updates","spec4":"<strong>
2Comparative scenario analysis</strong> with customizable KPIs","spec5":"<strong>100% secure on-premise</strong> deployment \u2014 no data leaves your environment","researchTitle":"Research & Patents","patentTitle":"Related Patents","patentName":"AI-assisted Mobility Digital Twin Operation System","applicationDate":"Application Date","patentNumber":"Patent Number","academicTitle":"Academic Links","academicInfo":"Built on KAIST\'s traffic digital twin research lineage and PTV Visum/Vissim integration work","disclosureButton":"View Research Publications"},"useCases":{"title":"Use Cases","industriesTitle":"Target Industries","industry1":"Smart City Operators","industry2":"Traffic Authorities","industry3":"Mobility Consultancies","outcomeTitle":"Expected Outcomes","outcomeDesc":"<strong>Weeks of manual modeling compressed into minutes</strong> \u2014 immediate confidence in data, faster scenario decisions, and a single dashboard for every comparison","scenarioTitle":"Application Scenario","scenarioStep1":"<strong>Select base model</strong> and define analysis period","scenarioStep2":"Run <strong>automated update and validation</strong> in minutes","scenarioStep3":"Compare scenarios side by side on the <strong>integrated analytics dashboard</strong>"},"cta":{"title":"Ready to Modernize Your Mobility Operations?","description":"Contact us to learn how Nexus can collapse weeks of traffic modeling work into minutes \u2014 securely, on your own infrastructure.","button":"Get In Touch"}},"prismSolution":{"hero":{"title":"Prism \u2014 Vissim Validation & Comparison Dashboard","subtitle":"Upload your model, see it on the map, compare scenarios, and ship a finished report in one click \u2014 with an <strong>AI assistant</strong> for parameter changes."},"overview":{"title":"Overview","demo":"Dochak Prism \u2014 Intuitive Vissim Dashboard","demoDesc":"Upload a Vissim model alongside observed traffic data and <strong>Prism</strong> instantly visualises your <em>complex validation data on the map</em> \u2014 making analysis easier than ever. Select a comparison set to unlock <strong>comparative scenario analysis</strong>: evaluate key metrics, track customizable KPIs per intersection, and view <em>flow bands and signal phases</em> in one unified visual analytics dashboard. Generate complete, fully formatted reports with a single click. Need to change inputs and re-run the model? Tell the <strong>built-in AI assistant</strong> in natural language \u2014 it applies parameters and tracks execution in real time.","playVideo":"Play Video"},"technical":{"title":"Technical Details","specsTitle":"Specifications & Technology","spec1":"<strong>Model + observed data ingestion</strong> with instant map visualisation","spec2":"<em>Comparative scenario analysis</em> with customizable per-intersection KPIs","spec3":"Unified view of <strong>flow bands, signal phases, and validation metrics</strong>","spec4":"<strong>One-click report generation</strong> \u2014 professional, fully formatted output in seconds","spec5":"<strong>Built-in AI assistant</strong> \u2014 natural-language model edits with real-time execution tracking","researchTitle":"Research & Patents","patentTitle":"Related Patents","patentName":"Vissim Validation and Comparative Analysis Dashboard","applicationDate":"Application Date","patentNumber":"Patent Number","academicTitle":"Academic Links","academicInfo":"Validation methodology based on operational modelling guidelines and Visum\u2013Vissim calibration research","disclosureButton":"View Research Publications"},"useCases":{"title":"Use Cases","industriesTitle":"Target Industries","industry1":"Transport Consultancies","industry2":"Traffic Engineering Firms","industry3":"Public Agencies","outcomeTitle":"Expected Outcomes","outcomeDesc":"<strong>Faster validation, easier comparison, and zero report-writing overhead</strong> \u2014 with AI handling the tedious model edits","scenarioTitle":"Application Scenario","scenarioStep1":"<strong>Upload model and observed data</strong> \u2014 see it on the map instantly","scenarioStep2":"Select a <strong>comparison set</strong> and review KPIs across intersections","scenarioStep3":"<strong>Generate the report</strong> with one click \u2014 or ask the AI to tweak inputs and re-run"},"cta":{"title":"Ready to Modernize Your Validation Workflow?","description":"Contact us to learn how Prism can streamline your Vissim validation, comparison, and reporting \u2014 with an AI assistant doing the heavy lifting.","button":"Get In Touch"}},"vistaSolution":{"hero":{"title":"Vista \u2014 Vissim \u2194 Unity 3D Real-time Streaming","subtitle":"Stream <strong>Vissim\'s high-fidelity simulation data</strong> directly into a Unity 3D environment in real time \u2014 synchronized vehicles, dashboards, and interactive intersection nodes."},"overview":{"title":"Overview","demo":"Dochak Vista \u2014 Seamless Vissim \u2192 Unity 3D Integration","demoDesc":"<strong>Vista</strong> binds a Python script to the Vissim interface and opens a <em>high-speed UDP communication channel</em> to stream vehicle trajectory data in real time. Select and run any Vissim scenario \u2014 live <strong>vehicle positions and speeds</strong> drive Unity\'s 3D traffic flow, with Unity dynamically adjusting vehicle speeds in <em>
2perfect sync with the simulation tempo</em>. Dashboard metrics update automatically based on the active scenario. On the web UI, <strong>purple nodes</strong> mark key intersections across the Vissim network \u2014 click any node to instantly review its real-time status and comprehensive performance metrics.","playVideo":"Play Video"},"technical":{"title":"Technical Details","specsTitle":"Specifications & Technology","spec1":"<strong>Python \u2194 Vissim binding</strong> via the Vissim COM interface","spec2":"<strong>High-speed UDP channel</strong> for low-latency vehicle trajectory streaming","spec3":"<em>Unity 3D rendering</em> with vehicle speeds synchronized to Vissim\'s simulation tempo","spec4":"<strong>Auto-updating dashboard metrics</strong> tied to the active scenario","spec5":"Interactive web UI with <strong>purple intersection nodes</strong> for instant per-node analytics","researchTitle":"Research & Patents","patentTitle":"Related Patents","patentName":"Vissim-to-Unity Real-time Simulation Streaming System","applicationDate":"Application Date","patentNumber":"Patent Number","academicTitle":"Academic Links","academicInfo":"Built on KAIST\'s co-simulation research and Unity-based driving simulator pipelines","disclosureButton":"View Research Publications"},"useCases":{"title":"Use Cases","industriesTitle":"Target Industries","industry1":"AV Development Teams","industry2":"Driving Simulator Operators","industry3":"Urban Mobility Research","outcomeTitle":"Expected Outcomes","outcomeDesc":"<strong>Vissim\'s analytical rigour meets Unity\'s visual fidelity</strong> \u2014 live, synchronized, and instantly inspectable per intersection","scenarioTitle":"Application Scenario","scenarioStep1":"<strong>Python script binds to Vissim</strong> and opens a UDP channel","scenarioStep2":"Run a scenario \u2014 <strong>live vehicle data streams into Unity</strong> in real time","scenarioStep3":"Click an <strong>intersection node</strong> on the web UI for instant per-node metrics"},"cta":{"title":"Ready to Bridge Simulation and 3D?","description":"Contact us to learn how Vista can connect your Vissim models to Unity 3D environments with real-time streaming and per-intersection analytics.","button":"Get In Touch"}}},"projects":{"heroTitle":"Our Projects","heroSubtitle":"Explore our portfolio of innovative mobility and smart city projects.","status":{"ongoing":"Ongoing"},"items":{"naepo":{"title":"Naepo New City Digital Twin","tabLabel":"Naepo Digital Twin","date":"2025-Present","explanation":"Dochak will position itself as a <strong>regional mobility innovation leader</strong> in Chungnam by using <em>digital twins and simulation</em> for traffic solutions.","detailedDescription":"Developing <strong>Korea\'s first traffic-focused digital twin</strong> for Naepo New City to support <em>advanced mobility planning and operations</em>. The system integrates <strong>real-time data collection</strong>, <em>AI-based predictive modeling</em>, and <strong>3D visualization</strong> to help city planners and operators make better decisions. This project plays a key role in <em>sustainable urban development</em> and building a <strong>smart mobility ecosystem</strong>.","keyFeatures":["<strong>Real-time</strong> traffic data analysis","<em>AI-based</em> traffic flow prediction","<strong>3D digital twin</strong> visualization","Integrated <em>traffic management system</em>","<strong>Smart traffic signal</strong> optimization","Public transit <em>route optimization</em>"],"impact":"This project is expected to improve <strong>traffic efficiency by 30%</strong>, reduce <em>carbon emissions by 25%</em>, and reduce <strong>citizens\' travel time by an average of 20%</strong>. It will also contribute to <em>local economic revitalization</em> and <strong>job creation</strong>.","impactStats":[{"number":"6.7%","text":"Improvement of <strong>driving speed</strong> for overlapping routes <em>(114 and 115)</em>"},{"number":"4.5%","text":"Reduction of <strong>average travel time</strong> after the introduction of <em>articulated buses</em>"}],"videoTitle":"Naepo New City Digital Twin Demo","videoDescription":"Demonstration video of <strong>real-time traffic monitoring</strong> and <em>prediction system</em> using <strong>digital twin technology</strong>."},"teleDriving":{"title":"Daejeon-Jeju Tele-driving","tabLabel":"Tele-Driving","date":"2025-Present","explanation":"Provides <strong>remote driver intervention</strong> when autonomous vehicles encounter issues, addressing <em>limitations of autonomous systems</em>.","detailedDescription":"Developing <strong>tele-driving technology</strong> for autonomous vehicles over a <em>500km distance</em> between Daejeon and Jeju. Using <strong>ultra-low-latency communication</strong> via <em>5G networks</em>, remote drivers can control vehicles in <strong>real-time</strong>, providing <em>safe intervention</em> when autonomous systems cannot handle situations. This technology can be widely applied in <strong>mobility services</strong>, <em>logistics</em>, and <strong>defense sectors</strong>.","keyFeatures":["<strong>5G-based</strong> ultra-low-latency remote control","<em>Real-time</em> video streaming","Safe <strong>remote intervention system</strong>","Multi-sensor <em>data integration</em>","<strong>Emergency response</strong> algorithms","Cross-platform <em>compatibility</em>"],"impact":"<strong>Tele-driving technology</strong> will significantly improve <em>autonomous vehicle safety</em>, solve <strong>driver shortage issues</strong>, and create <em>new mobility service models</em>. It will bring innovation especially to <strong>long-distance transportation</strong> and driving in <em>special environments</em>.","impactStats":[{"number":"30%","text":"Enhanced <strong>safety protocols</strong> and <em>risk management systems</em>"},{"number":"25%","text":"Reduced <strong>operational costs</strong> through <em>remote vehicle control</em>"},{"number":"20%","text":"Improved <strong>response times</strong> in <em>emergency situations</em>"}],"videoTitle":"Tele-driving Technology Demo","videoDescription":"Actual operation demonstration video of the <strong>Daejeon-Jeju tele-driving system</strong>."},"publicTransport":{"title":"Daejeon 3-Car Public Transportation","tabLabel":"Public Transport","date":"2025-Present","explanation":"Innovating <strong>Daejeon\'s public transportation system</strong> to maximize <em>
2traffic efficiency</em> through <strong>3-car connected electric train operation</strong>.","detailedDescription":"Innovating <strong>Daejeon\'s existing public transportation system</strong> by building a <em>3-car connected electric train operation system</em>. This system greatly improves the <strong>efficiency and convenience</strong> of public transportation through <em>flexible vehicle deployment</em> based on passenger demand, <strong>real-time passenger information</strong>, and integration with <em>smart signal systems</em>. It also implements an <strong>environmentally friendly transportation system</strong> through <em>energy-efficient operation</em>.","keyFeatures":["<strong>3-car connected</strong> electric train operation","<em>Real-time</em> passenger information system","<strong>Smart signal</strong> integration","Energy-efficient <em>operation</em>","<strong>Passenger demand-based</strong> vehicle deployment","Mobile app <em>integration service</em>"],"impact":"The <strong>3-car public transportation system</strong> is expected to improve <em>public transportation usage by 40%</em>, reduce <strong>waiting time by 50%</strong>, and decrease <em>traffic congestion by 30%</em>. It also contributes to <strong>environmental protection</strong> through <em>reduced carbon emissions</em>.","impactStats":[{"number":"6.7%","text":"Improvement in <strong>travel speed</strong> for overlapping routes <em>(No. 114, 115)</em>"},{"number":"4.5%","text":"Reduction in <strong>travel time</strong> after the introduction of <em>articulated buses</em>."}],"videoTitle":"3-Car Public Transportation Demo","videoDescription":"Actual operation video of <strong>Daejeon\'s 3-car connected electric train system</strong>."},"airportParking":{"title":"Incheon Airport Parking Improvement","tabLabel":"Airport Parking","date":"2025-Present","explanation":"Improving <strong>Incheon Airport\'s parking system</strong> with <em>smart technology</em> to maximize <strong>user convenience</strong>.","detailedDescription":"Improving <strong>Incheon Airport\'s parking system</strong> by integrating <em>IoT sensors</em>, <strong>AI-based prediction</strong>, and <em>mobile apps</em> into a <strong>smart parking solution</strong>. <em>Real-time parking space guidance</em>, <strong>reservation systems</strong>, and <em>automatic payment functions</em> revolutionize the parking experience for users. It also increases <strong>parking lot operational efficiency</strong> and reduces <em>management costs</em>.","keyFeatures":["<strong>Real-time</strong> parking space guidance","<em>Smart reservation</em> system","<strong>Automatic payment</strong> and settlement","IoT sensor-based <em>monitoring</em>","<strong>AI-based parking demand</strong> prediction","Mobile app <em>integration service</em>"],"impact":"The <strong>smart parking system</strong> will improve <em>parking lot utilization by 60%</em>, reduce <strong>parking time by an average of 70%</strong>, and greatly improve <em>user satisfaction</em>. It is also expected to reduce <strong>parking lot operational costs by 40%</strong>.","impactStats":[{"number":"60%","text":"Faster <strong>parking spot allocation</strong> through <em>smart sensor technology</em>"},{"number":"70%","text":"Improved <strong>user convenience</strong> with <em>real-time availability updates</em>"},{"number":"40%","text":"Reduction in <strong>traffic congestion</strong> around <em>airport facilities</em>"}],"videoTitle":"Smart Parking System Demo","videoDescription":"Actual operation demonstration video of <strong>Incheon Airport\'s smart parking system</strong>."}},"media":{"videoTitle":"Project Video","galleryTitle":"Project Gallery"},"content":{"overviewTitle":"Project Overview","featuresTitle":"Key Features","impactTitle":"Expected Impact","technologiesTitle":"Technologies Used","getInTouchTitle":"Learn More","getInTouchDescription":"Interested in learning more about this project or exploring partnership opportunities? We\'d love to hear from you.","contactUs":"Contact Us"},"carousel":{"prevImage":"Previous image","nextImage":"Next image"},"navigation":{"tabsLabel":"Project navigation tabs","scrollHint":"Scroll to see more tabs"}},"team":{"heroTitle":"Meet Our Team","heroSubtitle":"Talented researchers and engineers working together to revolutionize transportation technology","sectionTitle":"Our Team Members","sort":{"byTitle":"By Title","byName":"By Name"},"ceo":{"name":"Inhi Kim","title":"CEO & Founder","bio":"Leading research in transportation systems and urban mobility with over 15 years of experience in AI and autonomous systems."},"members":{"tkkim":{"name":"TK Kim","title":"Executive Technical Advisor","bio":"Multimodal simulation modeling, Transport planning & network assessment, Signal optimization","email":"[email protected]"}
2,"bowang":{"name":"Dr. Bo Wang","title":"Technical Advisor","bio":"Technical advisor specializing in advanced traffic analysis and AI-driven mobility solutions.","email":"[email protected]","image":"BoWang.webp"},"reuben":{"name":"Dr. Reuben Tamakloe","title":"Principal Researcher","bio":"Manages overall operations, ensuring project and research execution align with goals."},"gyounghoon":{"name":"Dr. Gyounghoon Chun","title":"Principal Researcher","bio":"Manages microsimulation and mos projects and research execution align with goals."},"taeho":{"name":"Dr.Taeho Oh","title":"Principal Researcher","bio":"Manages digital twin projects and virtual environment simulations."},"tengfeng":{"name":"Tengfeng Lin","title":"Researcher","bio":"Leads image processing tasks."},"younghi":{"name":"Younghi Liu","title":"Researcher","bio":"Leads data science initiatives."},"kaihan":{"name":"Kaihan Zhang","title":"Researcher","bio":"Leads urban mobility research."},"mahdi":{"name":"Mahdi Khosravi","title":"Researcher","bio":"Leads 3D virtual environment development."},"hui":{"name":"Ng Hui Zhi","title":"Researcher","bio":"Leads EV operation in the large scale network."},"kervin":{"name":"Kervin Lucas","title":"Researcher","bio":"Leads macro scopic simulation including Visum, Emme, and Cube."},"hyuncheol":{"name":"Hyuncheol Park","title":"Researcher","bio":"multimodal driving simulators."},"jaehyuk":{"name":"Jaehyuk Lim","title":"Researcher","bio":"Designs experimental scenarios for practical simulation-based validation."},"heeyeon":{"name":"Heeyeon Kang","title":"Researcher","bio":"Supports project collaboration and research development through teamwork."}}},"getInTouch":{"badge":"Connect With Us","heroTitle":"Get In Touch","heroSubtitle":"Ready to transform your mobility solutions? We\'d love to hear from you. Whether you have questions, partnership ideas, or need expert consultation, our team is here to help.","contactInfo":{"title":"Let\'s Start a Conversation","location":{"title":"Visit Our Office","address":"KAIST, 291 Daehak-ro, Daejeon, Korea"},"email":{"title":"Send Us an Email","address":"[email protected]"},"phone":{"title":"Give Us a Call","number":"+82-42-350-1234"}},"social":{"title":"Follow Us"},"form":{"title":"Send Us a Message","subtitle":"Fill out the form below and we\'ll get back to you within 24 hours.","name":"Full Name","namePlaceholder":"Enter your full name","email":"Email Address","emailPlaceholder":"Enter your email address","company":"Company (Optional)","companyPlaceholder":"Enter your company name","message":"Message","messagePlaceholder":"Tell us about your project or ask us anything","submit":"Send Message","success":"Message Sent Successfully!","successTitle":"Thank You!","successMessage":"We\'ve received your message and will get back to you within 24 hours. Our team is excited to learn more about your project."},"faq":{"title":"Frequently Asked Questions","subtitle":"Find answers to common questions about our solutions and services.","item1":{"question":"What types of mobility solutions do you offer?","answer":"We provide comprehensive mobility solutions including traffic analysis tools, digital twin technology, autonomous vehicle simulation, multimodal transportation systems, and smart city infrastructure planning."},"item2":{"question":"How long does it take to implement your solutions?","answer":"Implementation timelines vary depending on project scope and complexity. Typically, our solutions can be deployed within 3-6 months, with ongoing support and optimization services available."},"item3":{"question":"Do you provide training and support?","answer":"Yes, we offer comprehensive training programs for your team and provide ongoing technical support. Our experts ensure smooth integration and optimal utilization of our mobility solutions."}}},"footer":{"privacyPolicy":"Privacy Policy","terms":"Terms","contact":"Contact","copyright":"All rights reserved."},"timeline":{"stabilization":{"title":"Expension the business","content1":"Operated stably while expanding B2B and public agency partnerships, and started continuous technology development.","revenueTarget2026":" ","revenueAmount2026":" ","revenueTarget2027":" ","revenueAmount2027":" "},"expansion":{"title":"The 1st DT integrated simulation development","content1":"Focused on maturing projects and product advancements to a scalable, stable pipeline.","revenueTarget":" ","revenueAmount":" "},"growth":{"title":"Promoting dochak","content1":"Improved the Dochak website to showcase partner and client models based on real-time models.","content2":"Promoted the company via LinkedIn and targeted SNS channels.","content3":"Participated in domestic academic mobility exhibitions for c
2ompany promotion.","content4":"Built early customer pipeline using existing networks and expanded partnership channels."},"startup":{"title":"dochak born","content1":"Completed foundational R&D for simulator digital twin and automated systems with core element technology acquisition.","content2":"Built cooperation system with ITS companies and 3D model environment companies to enhance product accuracy and quality.","content3":"Developing a metropolitan city-centered micro mobility model for June 2025 completion."}},"sections":{"overview":"Overview"},"bento":{"about":{"title":"About Dochak","description":"Learn about our mission to drive safer, smarter, and seamless urban mobility."},"technologies":{"title":"Core Technologies","description":"Explore our cutting-edge mesoscopic, microscopic, and 3D mesh model simulation technologies and digital twin technologies powering smart mobility."},"solutions":{"title":"Our Solutions","description":"Discover our comprehensive suite of solutions including driving simulators, traffic analysis tools, multimodal simulation, traffic visualization, life-saving robots, and tele-driving."},"projects":{"title":"Projects & Impact","description":"See how Dochak transforms cities with impactful smart mobility projects."}},"disclosure":{"title":"Research and Patent","subtitle":"Explore our academic publications and patent portfolio","loading":"Loading...","tabs":{"publications":"Publications","patents":"Patents"},"searchPlaceholder":{"publications":"Search publications by title, author, or journal...","patents":"Search patents by name or country..."},"filters":{"year":"Filter by year","allYears":"All years"},"results":{"publications":"Publications","patents":"Patents"},"noResults":{"title":"No results found","withFilters":"Try adjusting your search terms or filters.","noData":"No data available at the moment.","clearFilters":"Clear all filters"},"allYears":"All Years","allTypes":"All Types","searchAriaLabel":"Search through publications and patents","searchLabel":"Search publications and patents","searchDescription":"Search by title, author, journal, or patent name","clearSearch":"Clear search","yearFilterLabel":"Filter by publication year","yearFilterAriaLabel":"Filter by year","yearFilterDescription":"Filter results by publication year","activeFilters":"Active filters:","activeFiltersRegion":"Active filters","searchFilter":"Search","yearFilter":"Year","removeSearchFilter":"Remove search filter","removeYearFilter":"Remove year filter","clearAllFilters":"Clear all filters","clearAll":"Clear All","searchSectionLabel":"Search and filter options","tabsNavLabel":"Disclosure navigation","tabsAriaLabel":"Disclosure sections","publicationsTabDescription":"View academic publications and research papers","patentsTabDescription":"View patents and intellectual property","resultsCount":"Showing","loadingAriaLabel":"Loading research achievements data","retryDescription":"This will attempt to reload the research achievements data","clearFiltersDescription":"This will remove all active search and filter criteria","openPaper":"Open paper","openDoi":"Open DOI","error":{"title":"Error Loading Data","message":"We encountered an error while loading the research achievements. Please try again later.","retry":"Retry"},"publication":{"authors":"Authors","journal":"Journal","year":"Year","readMore":"Read More","viewPublication":"View Publication"},"patent":{"inventors":"Inventors","country":"Country","status":"Status","registrationNumber":"Registration Number","registrationDate":"Registration Date","managementNumber":"Management Number","registered":"Registered","pending":"Published","viewDetails":"View Details"},"patentStatus":{"registered":"Registered","pending":"Published"},"registrationDate":"Registration Date","applicationDate":"Application Date","registrationNumber":"Registration Number","managementNumber":"Management Number","countries":{"KR":"South Korea","US":"United States","CN":"China","JP":"Japan","DE":"Germany","GB":"United Kingdom","FR":"France","CA":"Canada","AU":"Australia","IN":"India","EU":"European Union"},"patentNames":{"\uad50\ud1b5\uc2e0\ud638\uae30 \uc81c\uc5b4\uc7a5\uce58":"Traffic Signal Control Device","\ud655\ub960 \uada4\uc801 \uc608\uce21\uc744 \uae30\ubc18\uc73c\ub85c \ube44\uc2e0\ud638 \uad50\ucc28\ub85c\uc5d0\uc11c \ubcf4\ud589\uc790\uc758 \ubbf8\ub798 \ucda9\ub3cc\uc744 \ud3c9\uac00\ud558\ub294 \ubc29\ubc95 \ubc0f \uc2dc\uc2a4\ud15c":"Method and System for Evaluating Future Pedestrian Collisions at Unsignalized Intersections Based on Probabilistic Trajectory Prediction","\ud658\uacbd\uc601\ud5a5\uc744 \uace0\ub824\ud55c \uac15\ud654\ud559\uc2b5 \uae30\ubc18\uc758 \uc2e0\ud638\uc81c\uc5b4\ubc29\ubc95 \ubc0f \uc2dc\uc2a4\ud15c":"Reinforcement Learning-Based Signal Control Method and System Considering Environmental Impact","\uc2a4\ud2b8\ub9ac\ud2b8 \ubdf0 \uc774\ubbf8\uc9c0\ub97c \uc774\uc6a9\ud558\uc5ec \uc804\ub3d9 \ubaa8\ube4c\ub9ac\ud2f0\uc758 \uacbd\ub85c\uc120\ud0dd\uc744 \ubd84\uc11d\ud558\ub294 \ubc29\ubc95 \ubc0f \uc2dc\uc2a4\ud15c":"Method and System for Analyzing Route Selection of Electric Mobility Using Street View Images","\uacbd\ub85c \ub9ac\ud50c\ub808\uc774\uc5d0 \uae30\ubc18\ud55c \uc2dc\uac01 \uc804\ud669\uc744 \ud65c\uc6a9\ud558\uc5ec \uc6b4\uc804\ud589\ud0dc\ub97c \uc790\uae30\ud3c9\uac00\ud558\ub294 \ubc29\ubc95 \ubc0f \uc2dc\uc2a4\ud15c":"Method and System for Self-Evaluating Driving Behavior Using Visual Context Based on Route Replay","\ubcf4\ud589\uc790 \uaddc\ubaa8 \uc815\ubcf4\uc5d0 \uae30\ubc18\ud55c \uc2e4\uc2dc\uac04 \uc6b4\uc804\uc790 \uacbd\uace0 \ubc29\ubc95 \ubc0f \uc2dc\uc2a4\ud15c":"Real-Time Driver Warning Method and System Based on Pedestrian Scale Information","\uad50\ud1b5\ub7c9 \uc81c\uc5b4 \uacc4\ud68d\uc744 \uc774\uc6a9\ud55c \uad50\ud1b5\uc2e0\ud638 \uacc4\ud68d \uc0dd\uc131 \uc7a5\uce58 \ubc0f \ubc29\ubc95":"Traffic Signal Plan Generation Device and Method Using Traffic Volume Control Plan","\uc870\uac74\ubd80 \uc801\ub300\uc801 \uc0dd\uc131 \ubaa8\ub378 \uae30\ubc18 \uad50\ud1b5\uc218\uc694 \ubd84\uc11d\uc758 \ub9de\ucda4\ud615 \ud569\uc131\uc778\uad6c \uc0dd\uc131 \ubc29\ubc95 \ubc0f \uc2dc\uc2a4\ud15c":"Method and System for Generating Customized Synthetic Population for Traffic Demand Analysis Based on Conditional Adversarial Generative Model"},"publicationType":{"journal":"Journal","conference":"Conference"}},"news":{"heroTitle":"Company News","heroSubtitle":"Stay updated with the latest developments, achievements, and milestones from our journey in transforming mobility.","readMore":"Read More","searchPlaceholder":"Search news...","searchResults":"Found {{count}} results for \\"{{term}}\\"","sort":{"newest":"Newest First","oldest":"Oldest First","category":"By Category"},"pagination":{"previous":"Previous","next":"Next"},"noResults":{"title":"No News Found","message":"Try adjusting your search terms or browse all news by clearing the search."},"newsletter":{"title":"Stay Updated","description":"Subscribe to our newsletter to receive the latest news and updates directly in your inbox.","placeholder":"Enter your email address","button":"Subscribe"},"items":{"ptvGroupNaepoBlogPost":{"title":"Mobility Digital Twin: Simulation Shapes a Smarter City","date":"February 11, 2026","category":"Business","excerpt":"TK Kim shares insights on how Naepo New Town in South Korea uses PTV Visum and PTV Vissim to build a mobility digital twin for predictive planning and data-driven transport solutions."},"llmTrafficAnalysis":{"title":"LLM-based Microscopic Traffic Analysis Tool v1.0 Released","date":"September 12, 2025","category":"Business","excerpt":"Revolutionary AI-powered traffic analysis tool combining Large Language Models with microscopic simulation for unprecedented analytical capabilities."},"ptvCertified":{"title":"PTV Certified Trainer","date":"August 25, 2025","category":"Business","excerpt":"Three PTV Certified Trainers have been produced at KAIST."},"kaistMobilityTech2025":{"title":"KAIST Showcases Future Mobility Technologies","date":"September 23, 2025","category":"Technology","excerpt":"KAIST Mobility Research Institute demonstrated 6 core technologies including remote driving valet parking and autonomous logistics robots at the \'2025 Technology Demo Conference\'."},"ptvApacUgm2025":{"title":"TK Kim Presents at PTV ASIA PACIFIC User Group Meeting 2025","date":"September 24, 2025","category":"Conference","excerpt":"KAIST\'s TK Kim delivered an invited presentation on Naepo Mobility Digital Twin Model integrated
2with PTV software at the PTV APAC UGM 2025 in Singapore."},"changhuiKimInternship":{"title":"Changhui Kim Successfully Completes KAIST-PTV Joint Internship Program","date":"August 29, 2025","category":"Internship","excerpt":"Changhui Kim, a 4th-year Computer Science student at KAIST, successfully completed the KAIST-PTV Group Summer Internship and was invited to visit Singapore for the PTV APAC User Group Meeting."},"scienceTechSupport2025":{"title":"DOCHAK Selected for 2025 Cooperation and Convergence Science & Technology Commercialization Support Project","date":"January 16, 2026","category":"Business","excerpt":"DOCHAK has been selected as a participating organization for the \'2025 Cooperation and Convergence Science & Technology Commercialization Support Project\' organized by the Ministry of Science and ICT."},"molitAward2025":{"title":"DOCHAK CEO Inhi Kim Receives Minister\'s Commendation from Ministry of Land, Infrastructure and Transport","date":"December 31, 2025","category":"Award","excerpt":"DOCHAK CEO Inhi Kim has been awarded the Minister\'s Commendation from the Ministry of Land, Infrastructure and Transport in recognition of his contributions to Korea-ASEAN transportation cooperation and digitalization."},"trafficTwinV2":{"title":"LLM-based Microscopic Traffic Analysis Tool V2.0 Release - TrafficTwin","date":"January 13, 2026","category":"Business","excerpt":"TrafficTwin V2.0, an AI-powered mobility command center, has been released. It combines real-time road networks, AI forecasting, and high-performance simulation to translate complex traffic models into actionable strategies."},"aimoTwinAnalyticsV01":{"title":"Development of AiMoTwin Analytics V-0.1","date":"March 9, 2026","category":"Technology","excerpt":"DOCHAK announces the development of AiMoTwin Analytics V-0.1, an AI-powered urban traffic analysis and simulation solution that transforms manual, repetitive tasks into automated updates to significantly increase operational efficiency."}},"articles":{"ptvGroupNaepoBlogPost":{"title":"Mobility Digital Twin: Simulation Shapes a Smarter City","date":"February 11, 2026","category":"Business","author":"TK Kim","readTime":"4 min read","content":"<p><strong>Original Publication:</strong> <a href=\\"https://blog.ptvgroup.com/en/user-insights/naepo-digital-twin-ptv-visum-vissim/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\" style=\\"color: #60A5FA; font-style: italic;\\">View PTV Group Blog Article</a></p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE1\\" alt=\\"Table of contents\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Table of contents</figcaption></figure><p>Many cities continue to approach transportation planning by addressing issues as they arise. Naepo\'s approach differs from the conventional model, offering a unique perspective that may serve as a valuable reference point for others.</p><p>Naepo, located in South Korea\'s Chungnam Province, is designed as a National Innovation City and administrative center. From the outset, digital transformation informed its strategic planning. Simulation was not merely an additional component; rather, it was a foundational element of the system.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE2\\" alt=\\"Naepo Digital Twin Overview\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Naepo\'s mobility digital twin transforms urban planning</figcaption></figure><h2>What is a Mobility Digital Twin?</h2><p>Naepo built a <strong>mobility digital twin</strong>: a virtual model that mirrors real-world transport using live data and simulation tools. This twin assists planners in evaluating concepts prior to construction. It facilitates data-driven decision-making, enhances teamwork, and ensures designs are future-proof.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE3\\" alt=\\"Digital Twin Benefits\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Digital twin enables predictive planning and data-driven decisions</figcaption></figure><p>This article will demonstrate how Naepo used <strong>
2PTV Visum</strong> and <strong>PTV Vissim</strong> to create its digital twin. You will also learn why this is important to projects worldwide: The insights from Naepo are applicable to any city seeking to implement data-driven mobility strategies.</p><h2>Why a Mobility Digital Twin for Naepo?</h2><p>The Naepo planning team needed a way to model and evaluate transport systems before physical infrastructure was built, ensuring data-informed decisions from the start.</p><p>To meet this goal, the <strong>KAIST Mobility Institute</strong> deployed PTV Visum and PTV Vissim. Together, these tools provide a multi-scale environment for analyzing demand, simulating multimodal interactions, and testing policy interventions.</p><p>The digital twin enables:</p><ul><li>Simulation of daily traffic and multimodal operations</li><li>Policy and infrastructure scenario evaluation</li><li>Testing of emerging technologies like autonomous driving and connected ITS (C-ITS)</li><li>Immersive visualization and VR engagement for planners and citizens</li></ul><blockquote>By combining strategic planning and operational modeling, Naepo has moved from reactive management to predictive, data-driven decision-making.</blockquote><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE4\\" alt=\\"Building the Digital Twin Model\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Multi-scale approach to building Naepo\'s digital twin</figcaption></figure><h2>Building the Model: From Data to Deployment</h2><h3>Simulation Based Assignment Model (PTV Visum)</h3><ul><li>Defined 63 zones (46 internal, 17 external)</li><li>Built seed matrices using mobile data and traffic counts</li><li>Applied matrix adjustment, calibration, and validation to match observed flows</li><li>Combined OpenStreetMap (OSM) data, desktop analysis, and site surveys for a consistent road network</li></ul><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE5\\" alt=\\"PTV Visum Model\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">PTV Visum simulation-based assignment model</figcaption></figure><h3>Operational Model (PTV Vissim)</h3><ul><li>Imported demand and route data from Visum</li><li>Integrated 3D vehicle models, elevation data (GeoTiff)</li><li>Conducted calibration and validation following Operational Modelling Guidelines (OMG)</li><li>Produced realistic 3D micro-simulations to support detailed operational analysis</li></ul><p>The result is a multi-scale digital twin of Naepo that links long-term planning with day-to-day operational insights.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE6\\" alt=\\"Multi-scale Digital Twin\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Integrated multi-scale digital twin of Naepo</figcaption></figure><h2>Practical Applications of Naepo\'s Digital Twin</h2><h3>Traffic Monitoring and Operations</h3><p>Integration with Intelligent Transport Systems (ITS) enables real-time traffic monitoring, congestion prediction, and optimization of management schemes.</p><h3>Policy Evaluation and Urban Planning</h3><p>Scenario testing supports decisions on road design, pedestrian safety, accident analysis, and policy review \u2013 improving transparency and collaboration among stakeholders.</p><h3>Future Mobility Research and Testing</h3><p>Naepo serves as a testbed for autonomous driving, C-ITS, and green mobility strategies, including CO\u2082 estimation and acoustic analysis. The platform supports adaptive smart intersections and multimodal simulations involving vehicles, pedestrians, and micro-mobility.</p><h3>Education and Stakeholder Engagement</h3><p>Through 3D visualization and VR environments, the digital twin facilitates training, public communication, and collaborative design review \u2013 helping residents and policymakers understand mobility solutions in an accessible way.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE7\\" alt=\\"Practical Applications\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Real-world applications of Naepo\'s digital twin</figcaption></figure><h2>Towards Data-Driven Mobility</h2><p>The Naepo Mobility Digital Twin represents a step forward in how cities plan, operate, and communicate complex transport systems.</p><blockquote>By integrating PTV Visum for real-time traffic operation and dynamic route choice, and PTV Vissim for high-resolution micro-simulation, KAIST and Naepo\'s planners have built a foundation for smarter traffic management, sustainable urban design, evidence-based policy evaluation, and safe and transparent testing of future mobility technologies.</blockquote><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE8\\" alt=\\"Future of Mobility Planning\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Data-driven mobility planning for the future</figcaption></figure><h2>Lessons for Global Mobility Planners</h2><p>Naepo\'s success wasn\'t just about deploying advanced simulation software \u2013 it was about embedding simulation into the culture of planning from day one. For cities elsewhere, the key takeaway isn\'t \\"use Visum and Vissim\\" \u2013 it\'s how and when to use them.</p><h3>Key Takeaways:</h3><ul><li><strong>Start Early, Simulate Often:</strong> Naepo didn\'t wait for problems to arise. Simulation was used before infrastru
2cture was built. Most cities still use modeling reactively \u2013 after congestion or safety issues emerge. That\'s too late.</li><li><strong>Break Silos Between Strategy and Operations:</strong> Naepo\'s planners didn\'t treat strategic planning and operational modeling as separate domains. They built a feedback loop between Visum and Vissim. Many cities still isolate these functions, missing out on system-wide insights.</li><li><strong>Invest in Calibration, Not Just Visualization:</strong> The project emphasized rigorous calibration and validation. Too often, cities prioritize flashy visuals over data fidelity. A digital twin is only as good as its assumptions.</li><li><strong>Use Simulation to Democratize Planning:</strong> Naepo used VR and 3D visualization to engage citizens and policymakers. This isn\'t a gimmick \u2013 it\'s a way to build trust and transparency. Simulation should be a public tool, not just a technical one.</li><li><strong>Think Beyond Traffic:</strong> Naepo\'s model includes CO\u2082 estimation, acoustic analysis, and multimodal interactions. If your city\'s simulation only models cars, it\'s not modeling mobility \u2013 it\'s modeling yesterday.</li></ul>"},"llmTrafficAnalysis":{"title":"LLM-based Microscopic Traffic Analysis Tool v1.0 Released","date":"September 12, 2025","category":"Business","author":"DOCHAK TEAM","readTime":"4 min read","contentIntro":"<p>We\'re excited to announce the release of our groundbreaking <strong>LLM-based Microscopic Traffic Analysis Tool v1.0</strong> \u2014 a revolutionary disruptive technology that transforms how we understand and analyze traffic behavior.</p>","contentMain":"<h2>Revolutionary AI-Powered Analysis</h2><p>This cutting-edge tool represents a significant breakthrough in traffic analysis, combining the power of <strong>Large Language Models (LLMs)</strong> with advanced microscopic simulation capabilities. Our proprietary technology enables unprecedented insights into traffic patterns, driver behavior, and system optimization opportunities.</p><blockquote>This tool marks a new era in traffic engineering, where complex analytical tasks that previously required hours of expert analysis can now be completed in minutes with AI assistance.</blockquote><p>Version 1.0 is now available and represents just the beginning of our AI-powered traffic analysis suite. Watch the demo below to see it in action!</p>","ctaButton":"Explore Traffic Analysis Solutions"},"ptvCertified":{"title":"PTV Certified Trainer","date":"August 25, 2025","author":"INHI KIM","readTime":"3 min read","content":"<p>Three PTV Certified Trainers have been produced at KAIST.</p><h2>A Historic First for Korea</h2><p>For the first time in Korea, researchers from KAIST (Professor Inhi Kim, Dr. Tae-ho Oh, and researcher Tae-kyun Kim) have become <strong>Certified Trainers</strong>.</p><p>In the future, those who receive PTV software training at KAIST will be provided with an <em>official PTV certificate</em>.</p><div class=\\"training-programs-section\\"><div class=\\"training-content\\"><h3>Training Programs Available</h3><p>You can participate in training for a total of <strong>five software programs</strong>:</p><ul><li>Visum</li><li>Vissim</li><li>VisWalk</li><li>VisVap</li><li>Vistro</li></ul></div><div class=\\"training-image\\"><img src=\\"TRAINING_FACILITIES_IMAGE\\" alt=\\"Training facilities equipped with PTV software\\" class=\\"inline-training-image\\" /></div></div><blockquote>This certification represents a significant milestone in strengthening Korea\'s capabilities in transportation modeling and simulation.</blockquote><p>This achievement positions KAIST as a leading institution for PTV software education in the region, providing students and professionals with access to world-class training and official certification.</p>","imageCaption1":"PTV Certified Trainers at KAIST showing their official certificates","imageCaption2":"Training facilities equipped with PTV software for comprehensive education programs"},"kaistMobilityTech2025":{"title":"KAIST Showcases Future Mobility Technologies","date":"September 23, 2025","category":"Technology","author":"Bonhyuk Koo, Herald Economy","readTime":"5 min read","source":"https://biz.heraldcorp.com/article/10581881?ref=naver","content":"<p><strong>Original Source:</strong> <a href=\\"https://biz.heraldcorp.com/article/10581881?ref=naver\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\" style=\\"color: #60A5FA; font-style: italic;\\">View Herald Economy Article</a></p><p>KAIST held the <strong>\'2025 Technology Demo Conference\'</strong> at Chungnam Naepo Knowledge Industry Center on the 23rd, showcasing commercialization cases of future mobility and AI technologies.</p><h2>KAIST Mobility Research Institute Innovation</h2><p>The KAIST Mobility Research Institute conducts industry-academia collaborative research in various technology f
2ields including autonomous driving, urban air mobility (UAM/UAV), eco-friendly transportation technologies, artificial intelligence (AI), and energy, with the goal of solving our society\'s mobility challenges. This demonstration represents results from KAIST research linked with Chungcheongnam-do\'s commissioned projects, showing how research outcomes connect to regional industries.</p><h2>6 Core Technologies Announced</h2><p>The demonstration featured commercialization-ready achievements developed in collaboration with faculty startup companies including <strong>Future EV Co. (CEO: Kim Kyung-soo)</strong>, <strong>DOCHAK Co. (CEO: Kim In-hee)</strong>, and alumni startup NOTA Co. (CEO: Chae Myung-soo), along with partner companies.</p><div class=\\"key-technologies\\"><h3>6 Core Technologies Unveiled</h3><ul><li><strong>Mobile Energy Storage System (ESS)</strong> Power Platform</li><li><strong>Naepo Digital Twin</strong></li><li><strong>SME-Specialized Autonomous Robots</strong></li><li><strong>Remote Driving Valet Parking</strong></li><li><strong>Autonomous Driving Testbed</strong></li><li><strong>AI Computing Center</strong></li></ul></div><h3>Technology Details</h3><p>The <strong>\'Mobile Energy Storage System (ESS) Power Platform\'</strong>, primarily developed by Professor Lee Yun-gu, is a solution that can build stable power grids even in areas where power supply is difficult, such as disaster sites or remote islands, proving the commercialization potential in the eco-friendly power sector.</p><p>The <strong>\'Naepo Digital Twin\'</strong> was commercialized through collaboration between Senior Researcher Kim Tae-kyun\'s research team and DOCHAK Co. It implements real cities and traffic situations in 3D virtual environments for traffic monitoring, situation prediction, disaster response, and policy verification, gaining attention as core technology for smart city construction.</p><p>The <strong>\'SME-Specialized Autonomous Robot\'</strong>, developed by Professor Kim Kyung-soo and Professor Choi Geun-ha\'s research team, is an autonomous logistics robot optimized for SME logistics environments. The demonstration showed precise movement and loading of factory logistics stations, confirming the innovation potential for small and medium manufacturing industries.</p><blockquote>The remote driving valet parking technology demonstrated a remotely controlled vehicle traveling from Daejeon to the Naepo Research Institute and completing destination parking, proving the stability and effectiveness of remote autonomous driving.</blockquote><p>The <strong>\'Remote Driving Valet Parking Technology\'</strong> is being commercialized through collaboration between Professor Kim In-hee and DOCHAK Co., Toronto Systems Co., E-Motion Co., and the national science and technology research network KREONET (operated by Korea Institute of Science and Technology Information).</p><p>The <strong>\'Autonomous Driving Testbed\'</strong> is a platform built by Professors Ahn Hee-jin and Noh Min-kyun, expanding scaled-car-based autonomous driving research results into educational and industrial demonstration platforms. The KAIST Mobility Research Institute plans to host the <strong>\'2025 KAIST Mobility Challenge Competition\'</strong> next year based on this platform, simultaneously promoting next-generation talent development and technology commercialization.</p><p>The <strong>\'AI Computing Center\'</strong> was unveiled by NOTA Co., which is preparing for KOSDAQ listing soon. The company introduced RE100-based power systems and AI optimization technologies, presenting collaboration visions with tenant companies and announcing goals to contribute to AI ecosystem expansion.</p><h2>Leadership Comments</h2><blockquote>KAIST Mobility Research Institute Director Jang Ki-tae stated, \\"This demonstration showed the concrete process of KAIST research outcomes spreading to industrial sites,\\" adding, \\"We will continue to closely cooperate with local governments and companies to lead the commercialization of future mobility and AI technologies and regional industrial development.\\"</blockquote><blockquote>KAIST President Lee Kwang-hyung emphasized, \\"KAIST\'s mission is to contribute to the nation and local communities through technological innovation. We find it meaningful to see research outcomes creating practical changes in industrial sites, and will continue to lead global mobility innovation and new value creation through cooperation with companies and local governments.\\"</blockquote>"},"ptvApacUgm2025":{"title":"TK Kim Presents at PTV ASIA PACIFIC User Group Meeting 2025","date":"September 24, 2025","category":"Conference","author":"DOCHAK TEAM","readTime":"4 min read","content":"<p><strong>Event Source:</strong>
2 <a href=\\"https://www.ptvgroup.com/en-us/node/2201\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\" style=\\"color: #60A5FA; font-style: italic;\\">PTV APAC UGM 2025 Official Page</a></p><p>The <strong>PTV ASIA PACIFIC User Group Meeting 2025</strong> was successfully held on Wednesday, September 24th, 2025 in Singapore. This year\'s theme, <em>Smart Mobility, Real Impact</em>, brought together transport professionals from across the APAC region to showcase innovative applications of PTV software.</p><h2>KAIST\'s Presentation: Naepo Mobility Digital Twin</h2><p>KAIST\'s Executive Technical Advisor <strong>TK Kim</strong> was invited as a keynote speaker and delivered a presentation titled <strong>\\"Naepo Mobility Digital Twin Model Integrated with PTV Software\\"</strong> at 10:35-10:55 AM.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKKIM_PHOTO\\" alt=\\"TK Kim presenting at PTV APAC User Group Meeting 2025\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">TK Kim presenting at PTV APAC User Group Meeting 2025 in Singapore</figcaption></figure><p>The presentation showcased how KAIST\'s research team developed an advanced <strong>traffic digital twin platform</strong> by integrating PTV software (Visum and Vissim) with digital twin technology. This platform enables real-time traffic monitoring, simulation, and prediction for smart city applications.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKKIM_PRESENTATION2\\" alt=\\"Presentation slides\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Presentation on Naepo Mobility Digital Twin Model integrated with PTV software</figcaption></figure><h2>About the PTV APAC UGM 2025</h2><p>The PTV APAC User Group Meeting is the region\'s annual gathering for transport professionals using PTV software to drive smarter, more sustainable mobility. The event featured presentations from leading experts across APAC, demonstrating real-world solutions in:</p><ul><li>Public transport planning</li><li>Traffic simulation and optimization</li><li>Digital twin applications</li><li>Smart city development</li><li>Flood impact assessment on mobility</li><li>AI-driven traffic management</li></ul><blockquote>This year\'s UGM highlighted how PTV users across APAC are turning data into action through AI, digital twins, and inclusive planning approaches.</blockquote><h3>Event Details</h3><p><strong>Date:</strong> Wednesday, 24th September 2025<br/><strong>Time:</strong> 10AM \u2013 5PM, followed by networking drinks<br/><strong>Location:</strong> Overlap @ The Working Capitol, 1 Keong Saik Road, Singapore S089109<br/><strong>Format:</strong> Hybrid (in-person and online via Zoom)</p><h2>Key Highlights</h2><p>TK Kim\'s presentation demonstrated the successful integration of PTV Visum and Vissim software with KAIST\'s proprietary digital twin technology, creating a comprehensive platform for:</p><ul><li>Real-time traffic monitoring and visualization</li><li>Scenario simulation and prediction</li><li>Traffic optimization strategies</li><li>Data-driven policy decision support</li></ul><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKKIM_CERTIFICATE\\" alt=\\"PTV Certified Trainer certificate\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">PTV Certified Trainer certificate awarded to TK Kim</figcaption></figure><p>This innovative approach positions KAIST and DOCHAK as leaders in transportation digital twin development, combining world-class simulation tools with cutting-edge AI and visualization technologies.</p>"},"changhuiKimInternship":{"title":"Changhui Kim Successfully Completes KAIST-PTV Joint Internship Program","date":"August 29, 2025","category":"Internship","author":"DOCHAK TEAM","readTime":"3 min read","content":"<p><strong>Changhui Kim</strong>, a 4th-year Computer Science student at KAIST, has successfully completed the <strong>KAIST-PTV Group Summer Internship</strong> on August 29th, 2025.</p><h2>Internship Research Topic</h2><div class=\\"content-with-image-section\\"><div class=\\"content-text\\"><p>Changhui\'s internship research focused on <strong>\\"A Visum-Based Validation Framework for AI-Driven Synthetic Population and Activity Generation\\"</strong>, emphasizing <strong>Agent-Based Modeling (ABM)</strong>, synthetic population generation, and real-world validation.</p><p>The research made extensive use of <strong>
2PTV Visum</strong> software, contributing valuable insights into data-driven modeling and validation frameworks within mobility research. The project successfully demonstrated the integration of AI-driven approaches with transportation planning tools.</p></div><div class=\\"content-image\\"><img src=\\"IMAGE_CHANGHUI_CERTIFICATE\\" alt=\\"KAIST-PTV Group Summer Internship Certificate\\" class=\\"inline-content-image\\" /><p style=\\"font-size: 0.9rem; color: #64748b; font-style: italic; margin-top: 0.5rem;\\">Changhui Kim\'s KAIST-PTV Group Summer Internship Certificate</p></div></div><blockquote>The internship project made extensive use of PTV Visum, contributing valuable insights into data-driven modeling and validation frameworks within mobility research.</blockquote><h2>Invitation to PTV APAC User Group Meeting in Singapore</h2><p>As a result of his outstanding internship performance, Changhui was invited to attend the <strong>PTV ASIA PACIFIC User Group Meeting</strong> hosted by PTV Group in Singapore. This prestigious international event brought together transportation professionals from across the APAC region to share innovative applications of PTV software.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_CHANGHUI_SINGAPORE\\" alt=\\"PTV APAC User Group Meeting in Singapore\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">Changhui Kim attending the PTV APAC User Group Meeting in Singapore</figcaption></figure><p>The official certificate awarded by Ryan Wong, Managing Director APAC of PTV Group, recognizes Changhui\'s dedication and excellent performance during the internship period.</p><h2>Looking Forward</h2><blockquote>We look forward to seeing more great achievements from Changhui in his future research and academic endeavors.</blockquote><p>This internship represents a successful example of industry-academia collaboration between KAIST and PTV Group, providing students with practical experience and international networking opportunities through this important program.</p>"},"scienceTechSupport2025":{"title":"DOCHAK Selected for 2025 Cooperation and Convergence Science & Technology Commercialization Support Project","date":"January 16, 2026","category":"Business","author":"DOCHAK TEAM","readTime":"5 min read","content":"<h2>
2\ud83d\udce2 [Announcement] DOCHAK Selected for 2025 Cooperation and Convergence Science & Technology Commercialization Support Project</h2><p>DOCHAK, a KAIST spin-off company, has been selected as a participating organization for the <strong>\'2025 Cooperation and Convergence Science & Technology Commercialization Support Project\'</strong> organized by the Ministry of Science and ICT.</p><p>This project aims to promote the commercialization of national science and technology by activating cooperation among companies within the value chain, centered on research consortia and consortiums. Through this selection, DOCHAK plans to pursue the following growth initiatives.</p><h2>\ud83d\udd39 Key Initiatives and Expected Effects</h2><h3>Value Chain-Linked R&D Planning</h3><p>We will conduct planning projects to discover and materialize leading technologies, products, and new process items through connections with upstream and downstream industry companies.</p><h3>National Strategic Technology Innovation</h3><p>We will develop practical commercialization-ready technologies at TRL (Technology Readiness Level) 6 or higher, linked to the 12 major national strategic technology fields.</p><h3>Securing Follow-up R&D Opportunities</h3><p>If selected as an excellent project in the results evaluation of this planning project, we have laid the groundwork to receive large-scale follow-up R&D support of approximately 750 million won per year (for a total of 2 years) starting from 2026.</p><h2>\ud83d\udd39 DOCHAK\'s Commitment</h2><p>DOCHAK will do its best to contribute to creating a self-sustaining technology cooperation ecosystem in the mobility field and to ensure that research achievements lead to practical value in the industrial field.</p><blockquote>We ask for the continued support of our partners and stakeholders who are building the value chain of future mobility with us."},"molitAward2025":{"title":"DOCHAK CEO Inhi Kim Receives Minister\'s Commendation from Ministry of Land, Infrastructure and Transport","date":"December 31, 2025","category":"Award","author":"DOCHAK TEAM","readTime":"4 min read","content":"<p><strong>Inhi Kim, CEO of DOCHAK</strong>, has been awarded the Minister\'s Commendation from the Ministry of Land, Infrastructure and Transport on December 31, 2025, in recognition of his contributions to Korea-ASEAN transportation cooperation and digitalization.</p><h2>Key Role in International Cooperation Projects</h2><p>Since 2024, CEO Inhi Kim has served as a key advisor to the Ministry of Land, Infrastructure and Transport\'s Office of International Cooperation and Trade, successfully leading major international cooperation projects for the advancement of transportation networks between the Republic of Korea and ASEAN countries.</p><h2>Major Achievements and Projects</h2><p>The key projects include:</p><ul><li><strong>Research on the digitalization gap analysis of public transportation and logistics in the ASEAN region</strong></li><li><strong>Development of the 2026-2030 Korea-ASEAN Transportation Cooperation Roadmap</strong></li></ul><p>Through these projects, CEO Inhi Kim has been recognized for diagnosing the current state of transportation digitalization in ASEAN countries and presenting strategic cooperation directions for Korea and ASEAN over the next five years.</p><h2>Building Practical Partnerships</h2><p>In particular, over the past two years, CEO Inhi Kim has worked closely with MOLIT officials to directly visit multiple ASEAN member countries, inspect local transportation infrastructure, and coordinate interests between countries through close communication with government officials from each country, taking the lead in building practical partnerships.</p><blockquote>CEO Inhi Kim stated, \\"We plan to continue playing a leading role in advancing transportation infrastructure and technology for ASEAN countries in 2026,\\" adding, \\"We will continue to dedicate ourselves to research and cooperation so that Korea\'s advanced transportation technology can successfully take root in the ASEAN region.\\"</blockquote><p>This award recognizes DOCHAK\'s international cooperation capabilities and contributions to the global expansion of transportation technology, and it is expected that DOCHAK will continue to play a leading role in the global mobility market, including the ASEAN region.</p>"},"trafficTwinV2":{"title":"LLM-based Microscopic Traffic Analysis Tool V2.0 Release - TrafficTwin","date":"January 13, 2026","category":"Business","author":"DOCHAK TEAM","readTime":"5 min read","contentIntro":"<p>We\'re excited to announce the release of <strong>LLM-based Microscopic Traffic Analysis Tool V2.0 - TrafficTwin</strong>, an AI-powered mobility command center that turns live traffic data into an AI-powered operations command center.</p>","contentMain":"<h2>Intelligent Mobility \xd7 AI Digital Twin</h2><p><strong>TrafficTwin</strong> blends real-time road networks, AI forecasting, and high-performance simulation to translate complex traffic models into actionable strategies for faster planning and operations.</p><h2>Key Features</h2><h3>AI Strategy Builder</h3><p>Evaluate closures, speed policies, and routing guidance scenarios in seconds with generative playbooks.</p><h3>Multi-Agent Scenario Studio</h3><p>Powerful studio capabilities for simulating and analyzing various agent-based scenarios.</p><h3>Real-time Feedback</h3><p>Track evolving conditions with cloud SUMO simulation clusters and live Mapbox speed intelligence.</p><ul><li><strong>Live Speeds</strong> - Real-time speed monitoring</li><li><strong>Adaptive KPI</strong> - Adaptive key performance indicators</li><li><strong>City Twin Status</strong> - City twin status monitoring</li></ul><h2>Performance Metrics</h2><p>TrafficTwin V2.0 delivers the following performance:</p><ul><li><strong>Network Flow 87%</strong>
2 - Network flow efficiency</li><li><strong>AI Confidence 0.94</strong> - High AI confidence level</li><li><strong>40% Faster congestion recovery</strong> - Significantly improved congestion recovery</li><li><strong>12+ Interactive performance KPIs</strong> - Comprehensive performance tracking</li><li><strong>3D Citywide situational twins</strong> - Full 3D city situational awareness</li></ul><blockquote>TrafficTwin empowers smarter cities with AI-driven mobility twins. Simulate, optimize, and thrive.</blockquote><p>V2.0 builds on the success of V1.0, offering even more powerful AI capabilities and real-time analysis to set a new standard for urban traffic management.</p>","ctaButton":"Visit TrafficTwin Service"},"aimoTwinAnalyticsV01":{"title":"Development of AiMoTwin Analytics V-0.1","date":"March 9, 2026","category":"Technology","author":"DOCHAK TEAM","readTime":"4 min read","contentIntro":"<p>We are proud to announce the development of <strong>AiMoTwin Analytics V-0.1</strong>, an AI-powered urban traffic analysis and simulation solution designed to optimize city mobility. AiMoTwin transforms manual, repetitive tasks into automated updates, significantly increasing operational efficiency.</p>","contentMain":"<h2>Key Features</h2><h3>Base Model Management</h3><p>Users can select and update base models with live traffic data to ensure simulations reflect current conditions.</p><h3>Automated Validation</h3><p>The system provides instant model validation, allowing users to gain immediate confidence through automated processes.</p><h3>Scenario Testing</h3><ul><li><strong>Intuitive Design</strong> \u2014 Features a \\"zero learning curve\\" with simplified controls for modifying road networks and intersections.</li><li><strong>Real-time Updates</strong> \u2014 Changes made to scenarios are processed and updated in real-time.</li></ul><h3>Comparative Analysis</h3><ul><li>Includes an integrated visual analytics dashboard.</li><li>Allows for comparison between different scenarios using customizable Performance Indicators (KPIs) like average network speed and traffic volume.</li></ul><h2>Core Benefits</h2><ul><li><strong>Efficiency</strong> \u2014 Reduces weeks of manual work into minutes of automated updates.</li><li><strong>Security</strong> \u2014 Offers 100% secure, on-premise operation to protect sensitive urban data.</li><li><strong>Optimization</strong> \u2014 Aims to assist urban planning by optimizing systems for better mobility.</li></ul><blockquote>AiMoTwin Analytics V-0.1 marks a new milestone in AI-driven urban mobility solutions, empowering city planners and traffic engineers to make smarter, data-driven decisions.</blockquote>","ctaButton":"Explore Traffic Impact Analysis"}},"article":{"backToNews":"Back to News","notFound":{"title":"Article Not Found","message":"The article you\'re looking for doesn\'t exist or may have been moved."}}},"training":{"heroTitle":"Our Training Courses","heroSubtitle":"Korea\'s first official PTV Software training course taught by Korean-speaking PTV-certified trainers from KAIST and dochak. Earn
2your official PTV certificate upon completion.","filters":{"allProducts":"All products","allLevels":"All levels","searchPlaceholder":"Search courses...","productFilterLabel":"Filter by product","levelFilterLabel":"Filter by level","searchLabel":"Search courses"},"results":{"coursesFound":"courses","noCourses":"No courses found","noCoursesMessage":"Try adjusting your filters or search terms to find courses."},"courseCard":{"viewDetails":"View Details","viewDetailsAriaLabel":"View Details"},"levels":{"Basic":"Basic","Intermediate":"Intermediate","Advanced":"Advanced","Individual":"Individual"},"course":{"backToTraining":"Back to Training","overview":"Course Overview","duration":"Duration","level":"Level","product":"Product","code":"Course Code","targetGroup":"Target Group","prerequisites":"Prerequisites","contents":"Course Contents","pricing":"Pricing & Registration","advantages":"Advantages","description":"Description","courseInformation":"Course Information","pricingRegistration":"Pricing & Registration","getStarted":"Get Started","readyToEnhance":"Ready to enhance your skills with this course?","contactUs":"Contact Us","notFound":{"title":"Course Not Found","message":"The course you\'re looking for doesn\'t exist or may have been moved."}}},"landing":{"intro":{"eyebrow":"01 \xb7 MISSION","headline":"We engineer the operating systems of urban mobility.","body":"Dochak builds the platforms that move cities \u2014 autonomous fleets, digital twins, traffic intelligence, and the people trained to run them. Our work spans Korea, the Middle East, Australia, and Southeast Asia. We believe smarter cities are built one system at a time, and that every line of code should serve the streets it runs on."},"solutions":{"eyebrow":"02 \xb7 SOLUTIONS","headline":"Seven platforms. One vision.","body":"Our suite covers the full mobility stack \u2014 from the cars in motion to the cities they navigate to the engineers who keep the systems running.","viewAll":"View all solutions \u2192","cards":{"nexus":{"title":"Nexus","body":"AI-powered base-model management \u2014 weeks of work in minutes, on-premise."},"prism":{"title":"Prism","body":"Vissim validation dashboard with one-click reports and an AI assistant."},"vista":{"title":"Vista","body":"Real-time streaming from Vissim simulations into Unity 3D environments."},"remoteDriving":{"title":"Tele-Driving","body":"Remote driving for fleets and fail-safe vehicle handoff."},"multimodalSimulator":{"title":"Multimodal Simulator","body":"Test autonomous behavior across cars, buses, drones, and pedestrians."},"digitalTwin":{"title":"Digital Twin","body":"Real-time 3D mirrors of city traffic and infrastructure."},"trafficSimulationModelling":{"title":"Traffic Simulation Modelling","body":"Macro, meso, and micro simulation for policy, planning, and operations."}}},"training":{"eyebrow":"04 \xb7 TRAINING","headline":"Build the team that builds the city.","body":"We don\'t just deploy systems \u2014 we teach engineers and transport planners how to design, run, and maintain them. Our PTV-certified courses run year-round in Korea and on-site internationally.","viewAll":"View all courses \u2192","badge":{"label":"Certified Training Partner","title":"PTV"},"courses":[{"code":"PTV-V01","title":"VISSIM Microscopic Simulation"},{"code":"PTV-V02","title":"Visum Network Modelling"},{"code":"DOC-001","title":"Digital Twin Foundations"}]},"projects":{"eyebrow":"03 \xb7 PROJECTS","headline":"Real cities running on Dochak.","body":"We don\'t write white papers \u2014 we ship infrastructure. These are live deployments operating today.","viewAll":"View all projects \u2192","viewCase":"View case study \u2192","items":[{"title":"Naepo Digital Twin","body":"Korea\'s first full-scale municipal digital twin. Real-time traffic, environmental, and infrastructure data for a 15 km\xb2 administrative city.","anchor":"#naepo-digital-twin"},{"title":"Daejeon\u2013Jeju Tele-driving","body":"Commercial-grade remote driving across 460 km of intercity routes. Demonstrated fail-safe handoff at highway speeds.","anchor":"#daejeon-jeju-tele-driving"},{"title":"Incheon Airport Parking","body":"Autonomous valet system handling 23,000 vehicles per day in Korea\'s busiest air gateway.","anchor":"#incheon-airport-parking"}]},"about":{"eyebrow":"05 \xb7 ABOUT","headline":"A KAIST spin-off, building real cities.","body":"Dochak was spun out of KAIST in 2024 by transport engineers and AI researchers with deep roots in Korea\'s smart-mobility ecosystem. 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\ud2b8\uc708","subtitle":"\ud3ec\uad04\uc801\uc778 \ub3c4\uc2dc \ubaa8\ube4c\ub9ac\ud2f0 \uad00\ub9ac\ub97c \uc704\ud55c 3D \uc2dc\uac01\uc801 \ud658\uacbd\uacfc \ud1b5\ud569\ub41c \uad50\ud1b5 \ub124\ud2b8\uc6cc\ud06c\uc758 \uc2e4\uc2dc\uac04 \ub514\uc9c0\ud138 \ubcf5\uc81c\ubcf8"},"overview":{"title":"\uac1c\uc694","demo":"Unity \uae30\ubc18 \uc2e4\uc2dc\uac04 \ub80c\ub354\ub9c1 \ub370\ubaa8","demoDesc":"\uc81c\uc791 \uc2dc\uac04\uc744 <em>70% \ub2e8\ucd95</em>\ud558\uba74\uc11c \uace0\ud488\uc9c8 \uad50\ud1b5 \uc2dc\ubbac\ub808\uc774\uc158\uacfc <strong>\ub3c4\uc2dc \ud658\uacbd \uc2dc\uac01\ud654</strong>\ub97c \uc81c\uacf5\ud558\ub294 <strong>Unity \uae30\ubc18 \uc2e4\uc2dc\uac04 \ub80c\ub354\ub9c1 \uc2dc\uc2a4\ud15c</strong>\uc744 \uacbd\ud5d8\ud574\ubcf4\uc138\uc694.","dt-1":"\ub300\uc804 \uad74\uc808\ubc84\uc2a4 \ub514\uc9c0\ud138 \ud2b8\uc708","dt-1Desc":"\ub300\uc804\uc2dc\ub294 <strong>3\ub7c9 \uc5f0\uacb0 \ubc84\uc2a4 \uc2dc\uc2a4\ud15c</strong> \ub3c4\uc785\uc744 \uacc4\ud68d\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uc0c8\ub85c\uc6b4 \ud615\ud0dc\uc758 \uad50\ud1b5\uc218\ub2e8 \uad6c\ud604 \uc804, \ubcf4\ub2e4 <strong>\ud6a8\uc728\uc801\uc778 \uad50\ud1b5 \uc2dc\uc2a4\ud15c</strong> \uad6c\ucd95\uc744 \uc704\ud574 \uad50\ud1b5 \uc601\ud5a5 \ubd84\uc11d\uc774 \ud544\uc218\uc785\ub2c8\ub2e4. \uc2dc\ubbac\ub808\uc774\uc158 \uacb0\uacfc\ub97c \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc2dc\uac01\uc801\uc73c\ub85c \uc774\ud574\ud558\uae30 \uc27d\uac8c \uc81c\uc791\ud588\uc2b5\ub2c8\ub2e4.","dt-2":"KAIST \ucea0\ud37c\uc2a4 \ub514\uc9c0\ud138 \ud2b8\uc708","dt-2Desc":"KAIST \uc5f0\uad6c\uc9c4\uc774 \ucd5c\ucd08\ub85c <strong>KAIST \ubb38\uc9c0 \ub514\uc9c0\ud138 \ud2b8\uc708</strong>\uc744 \uac1c\ubc1c\ud588\uc2b5\ub2c8\ub2e4. \uc774\ubbf8\uc9c0\uc640 \ud074\ub77c\uc6b0\ub4dc \ud3ec\uc778\ud2b8\ub97c \ub80c\ub354\ub9c1\ud558\uc5ec \uc2e4\uc81c\uc640 \ub9e4\uc6b0 \uc720\uc0ac\ud55c \uc601\uc0c1\uc744 \uc81c\uc791\ud569\ub2c8\ub2e4.","playVideo":"\ube44\ub514\uc624 \uc7ac\uc0dd"},"technical":{"title":"\uae30\uc220 \uc138\ubd80\uc0ac\ud56d","specsTitle":"\uc0ac\uc591 \ubc0f \uae30\uc220","spec1":"<strong>\uc2e4\uc2dc\uac04 \ub370\uc774\ud130 \ud1b5\ud569</strong> (ITS, CCTV)","spec2":"\uc790\ub3d9\ud654\ub41c \ud658\uacbd \uc694\uc18c \uc5c5\ub370\uc774\ud2b8","spec3":"\uc6b4\uc804 \uc2dc\ubbac\ub808\uc774\ud130\uc640 \uc5f0\ub3d9","spec4":"<em>70% \ube60\ub978 \uc81c\uc791</em>\uc774 \uac00\ub2a5\ud55c <strong>Unity \uae30\ubc18 3D \ub80c\ub354\ub9c1</strong>","spec5":"\ub3d9\uc801 \uc2dc\ub098\ub9ac\uc624 \uc5c5\ub370\uc774\ud2b8 \ubc0f <em>\uc778\ud504\ub77c \uacc4\ud68d</em>","researchTitle":"\uc5f0\uad6c \ubc0f \ud2b9\ud5c8","patentTitle":"\uad00\ub828 \ud2b9\ud5c8","patentName":"Vissim \uae30\ubc18 \ubaa8\ub378-\uc2e4\uce21 \ube44\uad50 \uc790\ub3d9\ud654 \ud234","applicationDate":"\ucd9c\uc6d0\uc77c","patentNumber":"\ud2b9\ud5c8\ubc88\ud638","academicTitle":"\ud559\uc220 \ub9c1\ud06c","academicInfo":"\uc0dd\uba85 \uad6c\uc870 \ub85c\ubd07 \ubc0f \uc751\uae09 \ub300\uc751 \ud65c\uc6a9 \ub17c\ubb38 \ub2e4\uc218","disclosureButton":"\uc5f0\uad6c \ubc1c\ud45c \ubcf4\uae30"},"useCases":{"title":"\uc0ac\uc6a9 \uc0ac\ub840","industriesTitle":"\ub300\uc0c1 \uc0b0\uc5c5","industry1":"\ub3c4\uc2dc\uacc4\ud68d","industry2":"\ub3c4\ub85c\uacf5\uc0ac","industry3":"\uc790\uc728\uc8fc\ud589 \ud14c\uc2a4\ud2b8\ubca0\ub4dc","outcomeTitle":"\uae30\ub300 \ud6a8\uacfc","outcomeDesc":"<strong>\uc2e4\uc2dc\uac04 \ub3c4\uc2dc \uc6b4\uc601</strong>, \uc0ac\uace0 \ub300\uc751, <strong>\uc815\ucc45 \ubd84\uc11d</strong>
2 \uac00\ub2a5","scenarioTitle":"\uc801\uc6a9 \uc2dc\ub098\ub9ac\uc624","scenarioStep1":"\ub0b4\ud3ec\uc2e0\ub3c4\uc2dc \ub0b4 <strong>\uad50\ud1b5\uccb4\uc99d \uc608\uce21 \uc2dc\ubbac\ub808\uc774\uc158</strong>","scenarioStep2":"\uc2dc\uc2a4\ud15c\uc774 \uc790\ub3d9\uc73c\ub85c <strong>\uad50\ud1b5 \ud328\ud134</strong>\uacfc \ubcd1\ubaa9 \uc9c0\uc810 \ubd84\uc11d","scenarioStep3":"\uc0ac\uace0 \uc2dc <strong>\uc6b0\ud68c \uc804\ub7b5</strong> \uc790\ub3d9 \uc81c\uc548"},"cta":{"title":"\ub3c4\uc2dc \uacc4\ud68d\uc744 \ud601\uc2e0\ud560 \uc900\ube44\uac00 \ub418\uc168\ub098\uc694?","description":"\ub514\uc9c0\ud138 \ud2b8\uc708 \uae30\uc220\uc774 \uc5b4\ub5bb\uac8c \ub3c4\uc2dc\uc758 \uad50\ud1b5 \uad00\ub9ac\uc640 \ub3c4\uc2dc \uacc4\ud68d \uc5ed\ub7c9\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\ub294\uc9c0 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\ub824\uba74 \ubb38\uc758\ud558\uc138\uc694.","button":"\ubb38\uc758\ud558\uae30"}},"multimodalSimulatorSolution":{"hero":{"title":"\ub2e4\uc911 \uad50\ud1b5\uc218\ub2e8 \uc2dc\ubbac\ub808\uc774\ud130","subtitle":"\ud3ec\uad04\uc801\uc778 \uad50\ud1b5 \uc2dc\ub098\ub9ac\uc624 \ud14c\uc2a4\ud2b8\ub97c \uc704\ud55c OBD & GPS \ud1b5\ud569 \uace0\uae09 \ub2e4\uc911 \uad50\ud1b5\uc218\ub2e8 \uc2dc\ubbac\ub808\uc774\uc158 \uc2dc\uc2a4\ud15c"},"overview":{"title":"\uac1c\uc694","demo":"OBD & GPS \uae30\ubc18 \uc2dc\ubbac\ub808\uc774\uc158 \ub370\ubaa8","demoDesc":"\ud3ec\uad04\uc801\uc778 \ub2e4\uc911 \uad50\ud1b5\uc218\ub2e8 \ud14c\uc2a4\ud2b8\ub97c \uc704\ud55c <strong>\ud604\uc2e4\uc801\uc778 NPC \uc0c1\ud638\uc791\uc6a9</strong>\uacfc <em>OBD & GPS \ud1b5\ud569</em>\uc744 \ud2b9\uc9d5\uc73c\ub85c \ud558\ub294 <strong>\uace0\uae09 \uc2dc\ubbac\ub808\uc774\uc158 \uc2dc\uc2a4\ud15c</strong>\uc744 \uacbd\ud5d8\ud574\ubcf4\uc138\uc694.","MO-1":"\uc804\ub3d9 \uc2a4\ucfe0\ud130 \ubc0f \uc790\uc728\ucc28 \uc0c1\ud638\uc791\uc6a9 \uc2dc\ubbac\ub808\uc774\uc158","MO-1Desc":"\ub3c4\uc2ec \uad50\ud1b5 \ud658\uacbd\uc5d0\uc11c <strong>\uc804\ub3d9 \uc2a4\ucfe0\ud130\uc640 \uc790\uc728\uc8fc\ud589\ucc28</strong> \uac04\uc758 \ubcf5\uc7a1\ud55c \uc0c1\ud638\uc791\uc6a9\uc744 \ubaa8\ub378\ub9c1\ud558\uace0 \uc2dc\ubbac\ub808\uc774\uc158\ud558\uc5ec \uad50\ud1b5 \uc548\uc804\uc131\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 <strong>\uc885\ud569\uc801\uc778 \ub2e4\uc911 \uad50\ud1b5\uc218\ub2e8 \ud14c\uc2a4\ud2b8 \ud658\uacbd</strong>\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.","MO-2":"\ubaa8\ube4c\ub9ac\ud2f0 \uc6b4\uc601 \uc2dc\uc2a4\ud15c","MO-2Desc":"<strong>\ub2e4\uc218\uc758 \uc13c\uc11c\ub97c \uac16\ucd98 \uc778\ud504\ub77c</strong>\uac00 \uc790\uc728\uc8fc\ud589\ucc28\uac00 \uc0ac\uac01\uc9c0\ub300\uc5d0 \uc788\uc744 \ub54c \uc774\ub97c <strong>\uc870\uc728</strong>\ud558\uc5ec \uc548\uc804\ud55c \uc8fc\ud589\uc744 \ubcf4\uc7a5\ud569\ub2c8\ub2e4. \uac00\uc0c1 \uc5d0\uc774\uc804\ud2b8\ub97c \uc8fc\uc785\ud558\uc5ec \uc2e4\uc81c \ucc28\ub7c9\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\uace0, \ubcf5\uc7a1\ud55c \ub3c4\uc2ec \ud658\uacbd\uc5d0\uc11c \ud559\uc2b5\ud558\uace0 \uc548\uc804\ud558\uac8c \uc8fc\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.","playVideo":"\ube44\ub514\uc624 \uc7ac\uc0dd"},"technical":{"title":"\uae30\uc220 \uc138\ubd80\uc0ac\ud56d","specsTitle":"\uc0ac\uc591 \ubc0f \uae30\uc220","spec1":"<strong>GUI \uae30\ubc18 \uc2dc\ub098\ub9ac\uc624 \uc0dd\uc131</strong>","spec2":"\uc804\uc870\ub4f1\uacfc \uc5d4\uc9c4\uc74c\uc744 \ud3ec\ud568\ud55c <strong>\uc2e4\uc2dc\uac04 \uc560\ub2c8\uba54\uc774\uc158</strong>","spec3":"<strong>SUMO/VISSIM\uacfc\uc758 \uacf5\ub3d9 \uc2dc\ubbac\ub808\uc774\uc158</strong>","spec4":"<strong>OBD & GPS \ub370\uc774\ud130 \ud1b5\ud569</strong>","spec5":"\uace0\uae09 NPC \uc0c1\ud638\uc791\uc6a9 \ubaa8\ub378\ub9c1","researchTitle":"\uc5f0\uad6c \ubc0f \ud2b9\ud5c8","patentTitle":"\uad00\ub828 \ud2b9\ud5c8","patentName":"\uc790\uc728\uc8fc\ud589\ucc28-\ubcf4\ud589\uc790 \ucda9\ub3cc \uc608\uce21 \uc2dc\uc2a4\ud15c","applicationDate":"\ucd9c\uc6d0\uc77c","patentNumber":"\ud2b9\ud5c8\ubc88\ud638","academicTitle":"\ud559\uc220 \uc9c0\uc6d0","academicInfo":"\ub9c8\uc774\ud06c\ub85c \ubaa8\ube4c\ub9ac\ud2f0 \uc548\uc804 \uc5f0\uad6c \ub17c\ubb38 (TRB, ICTCT)","disclosureButton":"\uc5f0\uad6c \ubc1c\ud45c \ubcf4\uae30"},"useCases":{"title":"\uc0ac\uc6a9 \uc0ac\ub840","industriesTitle":"\ub300\uc0c1 \uc0b0\uc5c5","industry1":"\uc790\uc728\uc8fc\ud589 \uac1c\ubc1c\uc0ac","industry2":"\uacbd\ucc30\uccad","industry3":"\uc2a4\ub9c8\ud2b8\uc2dc\ud2f0 \ud504\ub85c\uc81d\ud2b8","outcomeTitle":"\uae30\ub300 \ud6a8\uacfc","outcomeDesc":"<strong>\ub2e4\uc911\uc218\ub2e8 \uc0ac\uace0 \uc608\uce21</strong> \ubc0f \uc2dc\ub098\ub9ac\uc624 \ud6c8\ub828 \uac00\ub2a5","sce
2narioTitle":"\uc801\uc6a9 \uc2dc\ub098\ub9ac\uc624","scenarioStep1":"<strong>\uc790\uc728\ucc28\uc640 \ud0a5\ubcf4\ub4dc</strong> \uad50\ucc28 \ucda9\ub3cc \uc2dc\ub098\ub9ac\uc624","scenarioStep2":"<strong>GUI\uc5d0\uc11c \uc2e4\ud5d8\uc870\uac74</strong> \uc124\uc815","scenarioStep3":"\ucda9\ub3cc \uc704\ud5d8 \ubd84\uc11d \ubc0f <strong>\uac1c\uc120 \uc804\ub7b5 \uc81c\uc2dc</strong>"},"cta":{"title":"\uad50\ud1b5 \uc548\uc804\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc900\ube44\uac00 \ub418\uc168\ub098\uc694?","description":"\ub2e4\uc911 \uad50\ud1b5\uc218\ub2e8 \uc2dc\ubbac\ub808\uc774\ud130\uac00 \uc5b4\ub5bb\uac8c \uad50\ud1b5 \uc548\uc804 \ud14c\uc2a4\ud2b8\uc640 \uc2dc\ub098\ub9ac\uc624 \uac80\uc99d\uc744 \uac1c\uc120\ud560 \uc218 \uc788\ub294\uc9c0 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\ub824\uba74 \ubb38\uc758\ud558\uc138\uc694.","button":"\ubb38\uc758\ud558\uae30"}},"trafficSimulationModellingSolution":{"hero":{"title":"\uad50\ud1b5 \uc2dc\ubbac\ub808\uc774\uc158 \ubaa8\ub378\ub9c1","subtitle":"\uc815\ucc45 \ud3c9\uac00, \uc778\ud504\ub77c \uacc4\ud68d, \uad50\ud1b5 \uc6b4\uc601\uc744 \uc704\ud55c <strong>\uac70\uc2dc\xb7\uc911\uc2dc\xb7\ubbf8\uc2dc \ub2e4\uc911 \uaddc\ubaa8 \uc2dc\ubbac\ub808\uc774\uc158 \ubaa8\ub378\ub9c1 \ud50c\ub7ab\ud3fc</strong> \u2014 <em>\uc6d0\ud074\ub9ad \uc790\ub3d9\ud654</em> \uc6cc\ud06c\ud50c\ub85c\uc6b0 \uc81c\uacf5"},"overview":{"title":"\uac1c\uc694","demo":"\uc6d0\ud074\ub9ad \uad50\ud1b5 \ubd84\uc11d \ub370\ubaa8","demoDesc":"<em>
2\uc885\ud569\uc801\uc778 \uad50\ud1b5 \ud3c9\uac00</em>\ub97c \uc704\ud55c <strong>\ub300\uaddc\ubaa8 \ub124\ud2b8\uc6cc\ud06c \ubd84\uc11d</strong> \u2014 \ub300\uc804\uc2dc\uc758 <strong>\uacf5\uc720 \uc790\uc804\uac70 \uc2dc\uc2a4\ud15c</strong> \uc6b4\uc601\uc744 \uc0ac\ub840\ub85c \uc2dc\uc5f0\ud569\ub2c8\ub2e4.","TA-1":"\ucf54\uc2dc\ubbac\ub808\uc774\uc158","TA-1Desc":"<strong>VISSIM + Unity \ucf54\uc2dc\ubbac\ub808\uc774\uc158</strong>\uc740 <em>\uac80\uc99d\ub41c \ubbf8\uc2dc\uc801 \uad50\ud1b5 \uc2dc\ubbac\ub808\uc774\uc158</em>\uacfc \uace0\uae09 3D \ub80c\ub354\ub9c1\uc744 \uacb0\ud569\ud574, \uad50\ud1b5 \uc5f0\uad6c\ub97c \uc704\ud55c <em>\uc778\uac04-\ub8e8\ud504</em> \uac00\uc0c1 \ud658\uacbd\uc744 \uad6c\ud604\ud569\ub2c8\ub2e4.","TA-2":"\ub2e4\uc774\ub098\ubaa8\ubbf8\ud130\ub97c \uc774\uc6a9\ud55c \ucf54\uc2dc\ubbac\ub808\uc774\uc158","TA-2Desc":"<strong>\ud558\ub4dc\uc6e8\uc5b4-\uc778-\ub354-\ub8e8\ud504(HIL) \uc2dc\ubbac\ub808\uc774\uc158</strong>\uc758 \uc804\ubb38\uc801 \ud615\ud0dc\ub85c, \uc2e4\uc81c \ub2e4\uc774\ub098\ubaa8\ubbf8\ud130\uc640 \uac00\uc0c1 \ubaa8\ub378\uc744 \uacb0\ud569\ud569\ub2c8\ub2e4. <em>\uc790\ub3d9\ucc28 \ubc0f \ud56d\uacf5\uc6b0\uc8fc</em> \ud30c\uc6cc\ud2b8\ub808\uc778 \ud14c\uc2a4\ud2b8\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4.","TA-3":"\ub9c8\uc774\ud06c\ub85c \uc2dc\ubbac\ub808\uc774\uc158 - EV \uc790\uc728 \ucda9\uc804\uc18c","TA-3Desc":"<strong>\uc790\uc728 EV \ucda9\uc804\uc18c</strong>\ub294 \uc778\uac04\uc758 \uac1c\uc785 \uc5c6\uc774 \uc804\uae30\ucc28\ub97c \ucda9\uc804\ud569\ub2c8\ub2e4. <em>\ub9c8\uc774\ud06c\ub85c\uc2dc\ubbac\ub808\uc774\uc158</em>\uc73c\ub85c \uc131\uc7a5\ud558\ub294 EV \uc2dc\uc7a5\uc758 \uc8fc\uc694 \uacfc\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4.","TA-4":"\ud55c\uad6d \ud654\uc131\uc2dc \ud65c\ub3d9 \uae30\ubc18 \ubaa8\ub378","TA-4Desc":"2027\ub144 \ud654\uc131\uc2dc\uc5d0\uc11c \ubc1c\uc0dd\ud560 <strong>\uc790\uc728\uc8fc\ud589\ucc28 \ub808\ubca8 4+</strong>\ub97c \uc2dc\ubbac\ub808\uc774\uc158\ud558\uc5ec <em>\uad50\ud1b5 \ud328\ud134</em>\uacfc \ub3c4\uc2dc \ubaa8\ube4c\ub9ac\ud2f0\uc5d0 \ub300\ud55c \ud1b5\ucc30\ub825\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.","TA-5":"LLM \uae30\ubc18 \ubbf8\uc2dc\uad50\ud1b5\ubd84\uc11d\ub3c4\uad6c \ucd9c\uc2dc","TA-5Desc":"<strong>Dr. Bo Wang</strong>(\ub3c4\ucc29 \uae30\uc220 \uc790\ubb38)\uc774 \uac1c\ubc1c\ud55c <strong>LLM \uae30\ubc18 \uad50\ud1b5 \ubd84\uc11d \ub3c4\uad6c</strong> \u2014 GPT-4\ub97c \ud65c\uc6a9\ud574 \uacfc\uac70 \ub370\uc774\ud130, \uc2e4\uc2dc\uac04 \uc13c\uc11c, \ud14d\uc2a4\ud2b8 \ub9ac\ud3ec\ud2b8\ub97c <em>\uad50\ud1b5 \uc778\uc0ac\uc774\ud2b8\uc640 \uc608\uce21</em>\uc73c\ub85c \uc804\ud658\ud569\ub2c8\ub2e4.","TA-6":"AiMoTwin Analytics V-0.1 \u2014 \uac1c\ubc1c \ub9b4\ub9ac\uc2a4","TA-6Desc":"<strong>AiMoTwin Analytics V-0.1</strong> \u2014 <em>\uc2e4\uc2dc\uac04 \uae30\ubcf8 \ubaa8\ub378 \uad00\ub9ac</em>, \uc790\ub3d9 \uac80\uc99d, \uc2dc\ub098\ub9ac\uc624 \ud14c\uc2a4\ud2b8, \ube44\uad50 KPI \ub300\uc2dc\ubcf4\ub4dc\ub97c \uac16\ucd98 AI \uae30\ubc18 \ub3c4\uc2dc \uad50\ud1b5 \ubd84\uc11d \uc194\ub8e8\uc158. \uba87 \uc8fc\uc758 \uc791\uc5c5\uc744 \uba87 \ubd84\uc73c\ub85c.","playVideo":"\ube44\ub514\uc624 \uc7ac\uc0dd"},"technical":{"title":"\uae30\uc220 \uc138\ubd80\uc0ac\ud56d","specsTitle":"\uc0ac\uc591 \ubc0f \uae30\uc220","spec1":"<strong>\ub9e4\ud06c\ub85c:</strong> <em>\uc815\ucc45 \ud3c9\uac00\uc6a9</em>","spec2":"<strong>\uba54\uc870:</strong> <em>\ub300\uaddc\ubaa8 \uc774\ubca4\ud2b8/\uc7ac\ub09c \ub300\uc751</em>","spec3":"<strong>\ub9c8\uc774\ud06c\ub85c:</strong> <em>\uc2e0\ud638 \ucd5c\uc801\ud654/\uc751\uae09 \ub300\uc751\uc6a9</em>","spec4":"<strong>Visum-Vissim \uc5f0\uacc4 \uc790\ub3d9\ud654</strong>","spec5":"<strong>\ub2e8\uae30 \uad50\ud1b5 \uc608\uce21 \uc54c\uace0\ub9ac\uc998</strong>","researchTitle":"\uc5f0\uad6c \ubc0f \ud2b9\ud5c8","patentTitle":"\uad00\ub828 \ud2b9\ud5c8","patentName":"\ub2e4\uc218\uc758 <strong>Visum/Vissim \uac80\uc99d \uc790\ub3d9\ud654 \ud234</strong>","applicationDate":"\ucd9c\uc6d0\uc77c","patentNumber":"\ud2b9\ud5c8\ubc88\ud638","academicTitle":"\uc5f0\uad6c \uae30\ubc18","academicInfo":"Bo Wang \ub4f1\uc758
2<strong>\ub2e8\uae30 \uad50\ud1b5 \uc608\uce21 \uc5f0\uad6c</strong> (2023\ub144 11\uc6d4)","disclosureButton":"\uc5f0\uad6c \ubc1c\ud45c \ubcf4\uae30"},"useCases":{"title":"\uc0ac\uc6a9 \uc0ac\ub840","industriesTitle":"\ub300\uc0c1 \uc0b0\uc5c5","industry1":"\ub3c4\ub85c\uacf5\uc0ac","industry2":"\uad6d\ud1a0\ubd80","industry3":"\ud559\uc220\uae30\uad00","outcomeTitle":"\uae30\ub300 \ud6a8\uacfc","outcomeDesc":"<strong>\uc815\ud655\ud55c \uad50\ud1b5 \ud750\ub984 \ubd84\uc11d</strong> \ubc0f <em>\uc815\ucc45 \ud6a8\uacfc \uc608\uce21</em>","scenarioTitle":"\uc801\uc6a9 \uc2dc\ub098\ub9ac\uc624","scenarioStep1":"<strong>\uc11c\uc6b8 \uc2dc\ub0b4 \uc7ac\ub09c \ubc1c\uc0dd</strong> \uac00\uc815","scenarioStep2":"<strong>\ub9c8\uc774\ud06c\ub85c+\uba54\uc870 \uc5f0\uacc4 \ubaa8\ub378\ub9c1</strong>","scenarioStep3":"<em>\uc2e0\uc18d\ud55c \uc7ac\ubc30\uce58</em> \ubc0f <strong>\ub300\ud53c\uacbd\ub85c \ubd84\uc11d</strong>"},"cta":{"title":"\uad50\ud1b5 \uc2dc\uc2a4\ud15c\uc744 \ucd5c\uc801\ud654\ud560 \uc900\ube44\uac00 \ub418\uc168\ub098\uc694?","description":"<strong>\uad50\ud1b5\uc601\ud5a5\ubd84\uc11d \ub3c4\uad6c</strong>\uac00 \uc5b4\ub5bb\uac8c <em>\uad50\ud1b5 \uad00\ub9ac\uc640 \uc815\ucc45 \ud3c9\uac00 \uc5ed\ub7c9</em>\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\ub294\uc9c0 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\ub824\uba74 \ubb38\uc758\ud558\uc138\uc694.","button":"\ubb38\uc758\ud558\uae30"}},"nexusSolution":{"hero":{"title":"\ub125\uc11c\uc2a4 (Nexus) \u2014 AI \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708 \uc6b4\uc601 \uc194\ub8e8\uc158","subtitle":"<strong>100% \uc548\uc804\ud55c \uc628\ud504\ub808\ubbf8\uc2a4 \ud658\uacbd</strong>\uc5d0\uc11c \uba87 \uc8fc\uc758 \uc218\uc791\uc5c5 \ubaa8\ub378 \uc5c5\ub370\uc774\ud2b8\ub97c <em>\uba87 \ubd84\uc758 \uc790\ub3d9\ud654 \uc791\uc5c5</em>\uc73c\ub85c \uc804\ud658\ud569\ub2c8\ub2e4."},"overview":{"title":"\uac1c\uc694","demo":"Dochak Nexus \u2014 \ubaa8\ube4c\ub9ac\ud2f0 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\uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305 2025\uc5d0\uc11c \ubc1c\ud45c","date":"2025\ub144 9\uc6d4 24\uc77c","category":"\ud559\uc220\ub300\ud68c","excerpt":"KAIST\uc758 \uae40\ud0dc\uade0 \uc804\ubb34\uae30\uc220\uace0\ubb38\uc774 \uc2f1\uac00\ud3ec\ub974\uc5d0\uc11c \uc5f4\ub9b0 PTV APAC UGM 2025\uc5d0\uc11c PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc640 \ud1b5\ud569\ub41c \ub0b4\ud3ec \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708 \ubaa8\ub378\uc5d0 \ub300\ud574 \ucd08\uccad \ubc1c\ud45c\ub97c \uc9c4\ud589\ud588\uc2b5\ub2c8\ub2e4."},"changhuiKimInternship":{"title":"\uae40\ucc3d\ud76c \ud559\uc0dd, KAIST-PTV \uacf5\ub3d9 \uc778\ud134\uc2ed \ud504\ub85c\uadf8\ub7a8 \uc131\uacf5\uc801\uc73c\ub85c \uc644\ub8cc","date":"2025\ub144 8\uc6d4 29\uc77c","category":"\uc778\ud134\uc2ed","excerpt":"KAIST \ucef4\ud4e8\ud130\uacf5\ud559\uacfc 4\ud559\ub144 \uae40\ucc3d\ud76c \ud559\uc0dd\uc774 KAIST-PTV Group \uc5ec\ub984 \uc778\ud134\uc2ed\uc744 \uc131\uacf5\uc801\uc73c\ub85c \ub9c8\uce58\uace0 PTV Group\uc774 \uc8fc\ucd5c\ud55c \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305\uc5d0 \ucd08\uccad\ubc1b\uc544 \uc2f1\uac00\ud3ec\ub974\ub97c \ubc29\ubb38\ud558\uc600\uc2b5\ub2c8\ub2e4."},"scienceTechSupport2025":{"title":"(\uc8fc)\ub3c4\ucc29, 2025\ub144 \ud611\ub825\xb7\uc735\ud569 \uacfc\ud559\uae30\uc220\uc0ac\uc5c5\ud654 \ucd09\uc9c4\u
2c9c0\uc6d0\uc0ac\uc5c5 \uc120\uc815","date":"2026\ub144 1\uc6d4 16\uc77c","category":"\ube44\uc988\ub2c8\uc2a4","excerpt":"(\uc8fc)\ub3c4\ucc29\uc774 \uacfc\ud559\uae30\uc220\uc815\ubcf4\ud1b5\uc2e0\ubd80 \uc8fc\uad00 \'2025\ub144 \ud611\ub825\xb7\uc735\ud569 \uacfc\ud559\uae30\uc220\uc0ac\uc5c5\ud654 \ucd09\uc9c4\uc9c0\uc6d0\uc0ac\uc5c5\'\uc758 \uc218\ud589 \uae30\uad00\uc73c\ub85c \ucd5c\uc885 \uc120\uc815\ub418\uc5c8\uc2b5\ub2c8\ub2e4."},"molitAward2025":{"title":"(\uc8fc)\ub3c4\ucc29 \uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac, \uad6d\ud1a0\uad50\ud1b5\ubd80 \uc7a5\uad00 \ud45c\ucc3d \uc218\uc0c1","date":"2025\ub144 12\uc6d4 31\uc77c","category":"\uc218\uc0c1","excerpt":"(\uc8fc)\ub3c4\ucc29 \uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac\uac00 \ud55c-\uc544\uc138\uc548 \uad50\ud1b5 \ubd84\uc57c \ud611\ub825 \ubc0f \ub514\uc9c0\ud138\ud654\uc5d0 \uae30\uc5ec\ud55c \uacf5\ub85c\ub97c \uc778\uc815\ubc1b\uc544 \uad6d\ud1a0\uad50\ud1b5\ubd80 \uc7a5\uad00 \ud45c\ucc3d\uc744 \uc218\uc0c1\ud588\uc2b5\ub2c8\ub2e4."},"trafficTwinV2":{"title":"LLM \uae30\ubc18 \ubbf8\uc2dc\uad50\ud1b5\ubd84\uc11d\ub3c4\uad6c V2.0 \ucd9c\uc2dc - TrafficTwin","date":"2026\ub144 1\uc6d4 13\uc77c","category":"\ube44\uc988\ub2c8\uc2a4","excerpt":"AI \uae30\ubc18 \ubaa8\ube4c\ub9ac\ud2f0 \ucee4\ub9e8\ub4dc \uc13c\ud130\uc778 TrafficTwin V2.0\uc774 \ucd9c\uc2dc\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc2e4\uc2dc\uac04 \ub3c4\ub85c \ub124\ud2b8\uc6cc\ud06c, AI \uc608\uce21, \uace0\uc131\ub2a5 \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uacb0\ud569\ud558\uc5ec \ubcf5\uc7a1\ud55c \uad50\ud1b5 \ubaa8\ub378\uc744 \uc2e4\ud589 \uac00\ub2a5\ud55c \uc804\ub7b5\uc73c\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4."},"aimoTwinAnalyticsV01":{"title":"AiMoTwin Analytics V-0.1 \uac1c\ubc1c \ubc1c\ud45c","date":"2026\ub144 3\uc6d4 9\uc77c","category":"\uae30\uc220","excerpt":"DOCHAK\uc774 \ub3c4\uc2dc \ubaa8\ube4c\ub9ac\ud2f0 \ucd5c\uc801\ud654\ub97c \uc704\ud55c AI \uae30\ubc18 \uad50\ud1b5 \ubd84\uc11d \ubc0f \uc2dc\ubbac\ub808\uc774\uc158 \uc194\ub8e8\uc158\uc778 AiMoTwin Analytics V-0.1\uc758 \uac1c\ubc1c\uc744 \ubc1c\ud45c\ud569\ub2c8\ub2e4. \uc218\ub3d9 \ubc18\ubcf5 \uc791\uc5c5\uc744 \uc790\ub3d9\ud654\ub41c \uc5c5\ub370\uc774\ud2b8\ub85c \uc804\ud658\ud558\uc5ec \uc6b4\uc601 \ud6a8\uc728\uc131\uc744 \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4."}},"articles":{"ptvGroupNaepoBlogPost":{"title":"\ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708: \uc2dc\ubbac\ub808\uc774\uc158\uc73c\ub85c \ub9cc\ub4dc\ub294 \ub354 \uc2a4\ub9c8\ud2b8\ud55c \ub3c4\uc2dc","date":"2026\ub144 2\uc6d4 11\uc77c","category":"\ube44\uc988\ub2c8\uc2a4","author":"\uae40\ud0dc\uade0","readTime":"4\ubd84 \uc77d\uae30","content":"<p><strong>\uc6d0\ubb38 \uac8c\uc7ac:</strong> <a href=\\"https://blog.ptvgroup.com/en/user-insights/naepo-digital-twin-ptv-visum-vissim/\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\" style=\\"color: #60A5FA; font-style: italic;\\">PTV Group \ube14\ub85c\uadf8 \uae30\uc0ac \ubcf4\uae30</a></p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE1\\" alt=\\"\ubaa9\ucc28\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\ubaa9\ucc28</figcaption></figure><p>\ub9ce\uc740 \ub3c4\uc2dc\ub4e4\uc774 \ubb38\uc81c\uac00 \ubc1c\uc0dd\ud560 \ub54c\ub9c8\ub2e4 \ub300\uc751\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uad50\ud1b5 \uacc4\ud68d\uc5d0 \uc811\uadfc\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub0b4\ud3ec\uc758 \uc811\uadfc \ubc29\uc2dd\uc740 \uae30\uc874 \ubaa8\ub378\uacfc\ub294 \ub2e4\ub974\uba70, \ub2e4\ub978 \ub3c4\uc2dc\ub4e4\uc5d0\uac8c \uadc0\uc911\ud55c \ucc38\uace0 \uc790\ub8cc\uac00 \ub420 \uc218 \uc788\ub294 \ub3c5\ud2b9\ud55c \uad00\uc810\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.</p><p>\ucda9\uccad\ub0a8\ub3c4\uc5d0 \uc704\uce58\ud55c \ub0b4\ud3ec\uc2e0\ub3c4\uc2dc\ub294 \uad6d\uac00\ud601\uc2e0\ub3c4\uc2dc\uc774\uc790 \ud589\uc815\uc911\uc2ec\uc9c0\ub85c \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ucc98\uc74c\ubd80\ud130 \ub514\uc9c0\ud138 \uc804\ud658\uc774 \uc804\ub7b5\uc801 \uacc4\ud68d\uc5d0 \ubc18\uc601\ub418\uc5c8\uc73c\uba70, \uc2dc\ubbac\ub808\uc774\uc158\uc740 \ub2e8\uc21c\ud
255c \ucd94\uac00 \uc694\uc18c\uac00 \uc544\ub2c8\ub77c \uc2dc\uc2a4\ud15c\uc758 \uae30\ucd08 \uc694\uc18c\uc600\uc2b5\ub2c8\ub2e4.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE2\\" alt=\\"\ub0b4\ud3ec \ub514\uc9c0\ud138 \ud2b8\uc708 \uac1c\uc694\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\ub0b4\ud3ec\uc758 \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708\uc774 \ub3c4\uc2dc \uacc4\ud68d\uc744 \ud601\uc2e0\ud569\ub2c8\ub2e4</figcaption></figure><h2>\ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708\uc774\ub780?</h2><p>\ub0b4\ud3ec\ub294 <strong>\ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708</strong>\uc744 \uad6c\ucd95\ud588\uc2b5\ub2c8\ub2e4: \uc2e4\uc2dc\uac04 \ub370\uc774\ud130\uc640 \uc2dc\ubbac\ub808\uc774\uc158 \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c \uad50\ud1b5\uc744 \ubc18\uc601\ud558\ub294 \uac00\uc0c1 \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc774 \ud2b8\uc708\uc740 \uacc4\ud68d\uc790\ub4e4\uc774 \uac74\uc124 \uc804\uc5d0 \uac1c\ub150\uc744 \ud3c9\uac00\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \ub370\uc774\ud130 \uae30\ubc18 \uc758\uc0ac\uacb0\uc815\uc744 \ucd09\uc9c4\ud558\uace0 \ud300\uc6cc\ud06c\ub97c \ud5a5\uc0c1\uc2dc\ud0a4\uba70 \ubbf8\ub798 \uc9c0\ud5a5\uc801\uc778 \uc124\uacc4\ub97c \ubcf4\uc7a5\ud569\ub2c8\ub2e4.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE3\\" alt=\\"\ub514\uc9c0\ud138 \ud2b8\uc708\uc758 \uc7a5\uc810\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\ub514\uc9c0\ud138 \ud2b8\uc708\uc740 \uc608\uce21 \uae30\ubc18 \uacc4\ud68d\uacfc \ub370\uc774\ud130 \uae30\ubc18 \uc758\uc0ac\uacb0\uc815\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4</figcaption></figure><p>\uc774 \uae00\uc5d0\uc11c\ub294 \ub0b4\ud3ec\uac00 \uc5b4\ub5bb\uac8c <strong>PTV Visum</strong>\uacfc <strong>PTV Vissim</strong>\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub514\uc9c0\ud138 \ud2b8\uc708\uc744 \ub9cc\ub4e4\uc5c8\ub294\uc9c0 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ub610\ud55c \uc774\uac83\uc774 \uc65c \uc804 \uc138\uacc4 \ud504\ub85c\uc81d\ud2b8\uc5d0 \uc911\uc694\ud55c\uc9c0 \uc54c\uac8c \ub420 \uac83\uc785\ub2c8\ub2e4: \ub0b4\ud3ec\uc758 \uc778\uc0ac\uc774\ud2b8\ub294 \ub370\uc774\ud130 \uae30\ubc18 \ubaa8\ube4c\ub9ac\ud2f0 \uc804\ub7b5\uc744 \uad6c\ud604\ud558\ub824\ub294 \ubaa8\ub4e0 \ub3c4\uc2dc\uc5d0 \uc801\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.</p><h2>\ub0b4\ud3ec\uc5d0 \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708\uc774 \ud544\uc694\ud55c \uc774\uc720\ub294?</h2><p>\ub0b4\ud3ec \uacc4\ud68d \ud300\uc740 \ubb3c\ub9ac\uc801 \uc778\ud504\ub77c\uac00 \uac74\uc124\ub418\uae30 \uc804\uc5d0 \uad50\ud1b5 \uc2dc\uc2a4\ud15c\uc744 \ubaa8\ub378\ub9c1\ud558\uace0 \ud3c9\uac00\ud558\uc5ec \ucc98\uc74c\ubd80\ud130 \ub370\uc774\ud130 \uae30\ubc18 \uc758\uc0ac\uacb0\uc815\uc744 \ubcf4\uc7a5\ud560 \ubc29\ubc95\uc774 \ud544\uc694\ud588\uc2b5\ub2c8\ub2e4.</p><p>\uc774 \ubaa9\ud45c\ub97c \ub2ec\uc131\ud558\uae30 \uc704\ud574 <strong>KAIST \ubaa8\ube4c\ub9ac\ud2f0 \uc5f0\uad6c\uc18c</strong>\ub294 PTV Visum\uacfc PTV Vissim\uc744 \ubc30\uce58\ud588\uc2b5\ub2c8\ub2e4. \uc774 \ub450 \ub3c4\uad6c\ub294 \uc218\uc694 \ubd84\uc11d, \ub2e4\uc911 \ubaa8\ub4dc \uc0c1\ud638\uc791\uc6a9 \uc2dc\ubbac\ub808\uc774\uc158, \uc815\ucc45 \uac1c\uc785 \ud14c\uc2a4\ud2b8\ub97c \uc704\ud55c \ub2e4\uc911 \uc2a4\ucf00\uc77c \ud658\uacbd\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.</p><p>\ub514\uc9c0\ud138 \ud2b8\uc708\uc740 \ub2e4\uc74c\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4:</p><ul><li>\uc77c\uc77c \uad50\ud1b5 \ubc0f \ub2e4\uc911 \ubaa8\ub4dc \uc6b4\uc601 \uc2dc\ubbac\ub808\uc774\uc158</li><li>\uc815\ucc45 \ubc0f \uc778\ud504\ub77c \uc2dc\ub098\ub9ac\uc624 \ud3c9\uac00</li><li>\uc790\uc728\uc8fc\ud589 \ubc0f \uc5f0\uacb0\ud615 ITS(C-ITS)\uc640 \uac19\uc740 \uc2e0\uae30\uc220 \ud14c\uc2a4\ud2b8</li><li>\uacc4\ud68d\uc790\uc640 \uc2dc\ubbfc\uc744 \uc704\ud55c \ubab0\uc785\ud615 \uc2dc\uac01\ud654 \ubc0f VR \ucc38\uc5ec</li></ul><blockquote>\uc804\ub7b5\uc801 \uacc4\ud68d\uacfc \uc6b4\uc601 \ubaa8\ub378\ub9c1\uc744 \uacb0\ud569\ud568\uc73c\ub85c\uc368 \ub0b4\ud3ec\ub294 \ubc18\uc751\uc801 \uad00\ub9ac\uc5d0\uc11c \uc608\uce21\uc801, \ub370\uc774\ud130 \uae30\ubc18 \uc758\uc0ac\uacb0\uc815\uc73c\ub85c \uc804\ud658\ud588\uc2b5\ub2c8\ub2e4.</blockquote><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE4\\" alt=\\"\ub514\uc9c0\ud138 \ud2b8\uc708 \ubaa8\ub378 \uad6c\ucd95\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\ub0b4\ud3ec \ub514\uc9c0\ud138 \ud2b8\uc708 \uad6c\ucd95\uc744 \uc704\ud55c \ub2e4\uc911 \uc2a4\ucf00\uc77c \uc811\uadfc\ubc95</figcaption></figure><h2>\ubaa8\ub378 \uad6c\ucd95: \ub370\uc774\ud130\uc5d0\uc11c \ubc30\ud3ec\uae4c\uc9c0</h2><h3>\uc2dc\ubbac\ub808\uc774\uc158 \uae30\ubc18 \ubc30\uc815 \ubaa8\ub378 (PTV Visum)</h3><ul><li>63\uac1c \uc874 \uc815\uc758 (\ub0b4\ubd80 46\uac1c, \uc678\ubd80 17\uac1c)</li><li>\ubaa8\ubc14\uc77c \ub370\uc774\ud130 \ubc0f \uad50\ud1b5\ub7c9 \uc870\uc0ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2dc\ub4dc \ub9e4\ud2b8\ub9ad\uc2a4 \uad6c\ucd95</li><li>\uad00\uce21\ub41c \ud750\ub984\uacfc \uc77c\uce58\ud558\ub3c4\ub85d \ub9e4\ud2b8\ub9ad\uc2a4 \uc870\uc815, \ubcf4\uc815 \ubc0f \uac80\uc99d \uc801\uc6a9</li><li>\uc77c\uad00\ub41c \ub3c4\ub85c \ub124\ud2b8\uc6cc\ud06c\ub97c \uc704\ud574 OpenStreetMap(OSM) \ub370\uc774\ud130, \ub370\uc2a4\ud06c\ud1b1 \ubd84\uc11d \ubc0f \ud604\uc7a5 \uc870\uc0ac \uacb0\ud569</li></ul><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE5\\" alt=\\"PTV Visum \ubaa8\ub378\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">PTV Visum \uc2dc\ubbac\ub808\uc774\uc158 \uae30\ubc18 \ubc30\uc815 \ubaa8\ub378</figcaption></figure><h3>\uc6b4\uc601 \ubaa8\ub378 (PTV Vissim)</h3><ul><li>Visum\uc5d0\uc11c \uc218\uc694 \ubc0f \uacbd\ub85c \ub370\uc774\ud130 \uac00\uc838\uc624\uae30</li><li>3D \ucc28\ub7c9 \ubaa8\ub378, \uace0\ub3c4 \ub370\uc774\ud130(GeoTiff) \ud1b5\ud569</li><li>\uc6b4\uc601 \ubaa8\ub378\ub9c1 \uac00\uc774\ub4dc\ub77c\uc778(OMG)\uc5d0 \ub530\ub77c \ubcf4\uc815 \ubc0f \uac80\uc99d \uc218\ud589</li><li>\uc0c1\uc138\ud55c \uc6b4\uc601 \ubd84\uc11d\uc744 \uc9c0\uc6d0\ud558\ub294 \uc0ac\uc2e4\uc801\uc778 3D \ubbf8\uc2dc \uc2dc\ubbac\ub808\uc774\uc158 \uc0dd\uc131</li></ul><p>\uadf8 \uacb0\uacfc \uc7a5\uae30 \uacc4\ud68d\uacfc \uc77c\uc0c1\uc801\uc778 \uc6b4\uc601 \uc778\uc0ac\uc774\ud2b8\ub97c \uc5f0\uacb0\ud558\ub294 \ub0b4\ud3ec\uc758 \ub2e4\uc911 \uc2a4\ucf00\uc77c \ub514\uc9c0\ud138 \ud2b8\uc708\uc774 \ud0c4\uc0dd\ud588\uc2b5\ub2c8\ub2e4.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE6\\" alt=\\"\ub2e4\uc911 \uc2a4\ucf00\uc77c \ub514\uc9c0\ud138 \ud2b8\uc708\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\ub0b4\ud3ec\uc758 \ud1b5\ud569 \ub2e4\uc911 \uc2a4\ucf00\uc77c \ub514\uc9c0\ud138 \ud2b8\uc708</figcaption></figure><h2>\ub0b4\ud3ec \ub514\uc9c0\ud138 \ud2b8\uc708\uc758 \uc2e4\uc6a9\uc801 \uc751\uc6a9</h2><h3>\uad50\ud1b5 \ubaa8\ub2c8\ud130\ub9c1 \ubc0f \uc6b4\uc601</h3><p>\uc9c0\ub2a5\ud615 \uad50\ud1b5 \uc2dc\uc2a4\ud15c(ITS)\uacfc\uc758 \ud1b5\ud569\uc73c\ub85c \uc2e4\uc2dc\uac04 \uad50\ud1b5 \ubaa8\ub2c8\ud130\ub9c1, \ud63c\uc7a1 \uc608\uce21 \ubc0f \uad00\ub9ac \ubc29\uc2dd \ucd5c\uc801\ud654\uac00 \uac00\ub2a5\ud569\ub2c8\ub2e4.</p><h3>\uc815\ucc45 \ud3c9\uac00 \ubc0f \ub3c4\uc2dc \uacc4\ud68d</h3><p>\uc2dc\ub098\ub9ac\uc624 \ud14c\uc2a4\ud2b8\ub294 \ub3c4\ub85c \uc124\uacc4, \ubcf4\ud589\uc790 \uc548\uc804, \uc0ac\uace0 \ubd84\uc11d \ubc0f \uc815\ucc45 \uac80\ud1a0\uc5d0 \ub300\ud55c \uc758\uc0ac\uacb0\uc815\uc744 \uc9c0\uc6d0\ud558\uc5ec \uc774\ud574\uad00\uacc4\uc790 \uac04\uc758 \ud22c\uba85\uc131\uacfc \ud611\uc5c5\uc744 \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4.</p><h3>\ubbf8\ub798 \ubaa8\ube4c\ub9ac\ud2f0 \uc5f0\uad6c \ubc0f \ud14c\uc2a4\ud2b8</h3><p>\ub0b4\ud3ec\ub294 \uc790\uc728\uc8fc\ud589, C-ITS \ubc0f CO\u2082 \ucd94\uc815 \ubc0f \uc74c\ud5a5 \ubd84\uc11d\uc744 \ud3ec\ud568\ud55c \ub179\uc0c9 \ubaa8\ube4c\ub9ac\ud2f0 \uc804\ub7b5\uc758 \ud14c\uc2a4\ud2b8\ubca0\ub4dc \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc774 \ud50c\ub7ab\ud3fc\uc740 \uc801\uc751\ud615 \uc2a4\ub9c8\ud2b8 \uad50\ucc28\ub85c\uc640 \ucc28\ub7c9, \ubcf4\ud589\uc790 \ubc0f \ub9c8\uc774\ud06c\ub85c \ubaa8\ube4c\ub9ac\ud2f0\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc911 \ubaa8\ub4dc \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4.</p><h3>\uad50\uc721 \ubc0f \uc774\ud574\uad00\uacc4\uc790 \ucc38\uc5ec</h3><p>3D \uc2dc\uac01\ud654 \ubc0f VR \ud658\uacbd\uc744 \ud1b5\ud574 \ub514\uc9c0\ud138 \ud2b8\uc708\uc740 \uad50\uc721, \uacf5\uacf5 \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \ubc0f \ud611\ub825\uc801 \uc124\uacc4 \uac80\ud1a0\ub97c \ucd09\uc9c4\ud558\uc5ec \uc8fc\ubbfc\uacfc \uc815\ucc45 \uc785\uc548\uc790\uac00 \uc811\uadfc \uac00\ub2a5\ud55c \ubc29\uc2dd\uc73c\ub85c \ubaa8\ube4c\ub9ac\ud2f0 \uc194\ub8e8\uc158\uc744 \uc774\ud574\ud558\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE7\\" alt=\\"\uc2e4\uc6a9\uc801 \uc751\uc6a9\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\ub0b4\ud3ec \ub514\uc9c0\ud138 \ud2b8\uc708\uc758 \uc2e4\uc81c \uc751\uc6a9 \uc0ac\ub840</figcaption></figure><h2>\ub370\uc774\ud130 \uae30\ubc18 \ubaa8\ube4c\ub9ac\ud2f0\ub97c \ud5a5\ud558\uc5ec</h2><p>\ub0b4\ud3ec \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708\uc740 \ub3c4\uc2dc\uac00 \ubcf5\uc7a1\ud55c \uad50\ud1b5 \uc2dc\uc2a4\ud15c\uc744 \uacc4\ud68d, \uc6b4\uc601 \ubc0f \uc18c\ud1b5\ud558\ub294 \ubc29\ubc95\uc758 \uc9c4\u
2c804\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.</p><blockquote>\uc2e4\uc2dc\uac04 \uad50\ud1b5 \uc6b4\uc601 \ubc0f \ub3d9\uc801 \uacbd\ub85c \uc120\ud0dd\uc744 \uc704\ud55c PTV Visum\uacfc \uace0\ud574\uc0c1\ub3c4 \ubbf8\uc2dc \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uc704\ud55c PTV Vissim\uc744 \ud1b5\ud569\ud568\uc73c\ub85c\uc368 KAIST\uc640 \ub0b4\ud3ec\uc758 \uacc4\ud68d\uc790\ub4e4\uc740 \ub354 \uc2a4\ub9c8\ud2b8\ud55c \uad50\ud1b5 \uad00\ub9ac, \uc9c0\uc18d \uac00\ub2a5\ud55c \ub3c4\uc2dc \uc124\uacc4, \uc99d\uac70 \uae30\ubc18 \uc815\ucc45 \ud3c9\uac00, \ubbf8\ub798 \ubaa8\ube4c\ub9ac\ud2f0 \uae30\uc220\uc758 \uc548\uc804\ud558\uace0 \ud22c\uba85\ud55c \ud14c\uc2a4\ud2b8\ub97c \uc704\ud55c \uae30\ubc18\uc744 \uad6c\ucd95\ud588\uc2b5\ub2c8\ub2e4.</blockquote><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKARTICLE8\\" alt=\\"\ubbf8\ub798 \ubaa8\ube4c\ub9ac\ud2f0 \uacc4\ud68d\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\ubbf8\ub798\ub97c \uc704\ud55c \ub370\uc774\ud130 \uae30\ubc18 \ubaa8\ube4c\ub9ac\ud2f0 \uacc4\ud68d</figcaption></figure><h2>\uae00\ub85c\ubc8c \ubaa8\ube4c\ub9ac\ud2f0 \uacc4\ud68d\uc790\ub97c \uc704\ud55c \uad50\ud6c8</h2><p>\ub0b4\ud3ec\uc758 \uc131\uacf5\uc740 \ub2e8\uc21c\ud788 \uace0\uae09 \uc2dc\ubbac\ub808\uc774\uc158 \uc18c\ud504\ud2b8\uc6e8\uc5b4\ub97c \ubc30\uce58\ud558\ub294 \uac83\ub9cc\uc774 \uc544\ub2c8\ub77c, \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uacc4\ud68d \ubb38\ud654\uc5d0 \ucc98\uc74c\ubd80\ud130 \ub0b4\uc7ac\ud654\ud558\ub294 \uac83\uc774\uc5c8\uc2b5\ub2c8\ub2e4. \ub2e4\ub978 \ub3c4\uc2dc\ub4e4\uc758 \ud575\uc2ec \uad50\ud6c8\uc740 \\"Visum\uacfc Vissim\uc744 \uc0ac\uc6a9\ud558\ub77c\\"\uac00 \uc544\ub2c8\ub77c, \uadf8\uac83\ub4e4\uc744 \uc5b4\ub5bb\uac8c \uadf8\ub9ac\uace0 \uc5b8\uc81c \uc0ac\uc6a9\ud558\ub294\uac00\uc785\ub2c8\ub2e4.</p><h3>\ud575\uc2ec \uad50\ud6c8:</h3><ul><li><strong>\uc77c\ucc0d \uc2dc\uc791\ud558\uace0 \uc790\uc8fc \uc2dc\ubbac\ub808\uc774\uc158\ud558\ub77c:</strong> \ub0b4\ud3ec\ub294 \ubb38\uc81c\uac00 \ubc1c\uc0dd\ud560 \ub54c\uae4c\uc9c0 \uae30\ub2e4\ub9ac\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4. \uc778\ud504\ub77c\uac00 \uac74\uc124\ub418\uae30 \uc804\uc5d0 \uc2dc\ubbac\ub808\uc774\uc158\uc774 \uc0ac\uc6a9\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ub300\ubd80\ubd84\uc758 \ub3c4\uc2dc\ub294 \ud63c\uc7a1\uc774\ub098 \uc548\uc804 \ubb38\uc81c\uac00 \ubc1c\uc0dd\ud55c \ud6c4\uc5d0 \ubc18\uc751\uc801\uc73c\ub85c \ubaa8\ub378\ub9c1\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uadf8\uac83\uc740 \ub108\ubb34 \ub2a6\uc2b5\ub2c8\ub2e4.</li><li><strong>\uc804\ub7b5\uacfc \uc6b4\uc601 \uac04\uc758 \uc7a5\ubcbd\uc744 \ud5c8\ubb3c\ub77c:</strong> \ub0b4\ud3ec\uc758 \uacc4\ud68d\uc790\ub4e4\uc740 \uc804\ub7b5\uc801 \uacc4\ud68d\uacfc \uc6b4\uc601 \ubaa8\ub378\ub9c1\uc744 \ubcc4\uac1c\uc758 \uc601\uc5ed\uc73c\ub85c \ucde8\uae09\ud558\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4. Visum\uacfc Vissim \uac04\uc758 \ud53c\ub4dc\ubc31 \ub8e8\ud504\ub97c \uad6c\ucd95\ud588\uc2b5\ub2c8\ub2e4. \ub9ce\uc740 \ub3c4\uc2dc\ub294 \uc5ec\uc804\ud788 \uc774\ub7ec\ud55c \uae30\ub2a5\uc744 \ubd84\ub9ac\ud558\uc5ec \uc2dc\uc2a4\ud15c \uc804\uccb4\uc758 \uc778\uc0ac\uc774\ud2b8\ub97c \ub193\uce58\uace0 \uc788\uc2b5\ub2c8\ub2e4.</li><li><strong>\uc2dc\uac01\ud654\ubfd0\ub9cc \uc544\ub2c8\ub77c \ubcf4\uc815\uc5d0 \ud22c\uc790\ud558\ub77c:</strong> \uc774 \ud504\ub85c\uc81d\ud2b8\ub294 \uc5c4\uaca9\ud55c \ubcf4\uc815\uacfc \uac80\uc99d\uc744 \uac15\uc870\ud588\uc2b5\ub2c8\ub2e4. \ub108\ubb34 \uc790\uc8fc \ub3c4\uc2dc\ub4e4\uc740 \ub370\uc774\ud130 \ucda9\uc2e4\ub3c4\ubcf4\ub2e4 \ud654\ub824\ud55c \uc2dc\uac01\ud654\ub97c \uc6b0\uc120\uc2dc\ud569\ub2c8\ub2e4. \ub514\uc9c0\ud138 \ud2b8\uc708\uc740 \uadf8 \uac00\uc815\ub9cc\ud07c\ub9cc \uc88b\uc2b5\ub2c8\ub2e4.</li><li><strong>\uc2dc\ubbac\ub808\uc774\uc158\uc744 \uc0ac\uc6a9\ud558\uc5ec \uacc4\ud68d\uc744 \ubbfc\uc8fc\ud654\ud558\ub77c:</strong> \ub0b4\ud3ec\ub294 VR\uacfc 3D \uc2dc\uac01\ud654\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2dc\ubbfc\uacfc \uc815\ucc45 \uc785\uc548\uc790\ub97c \ucc38\uc5ec\uc2dc\ucf30\uc2b5\ub2c8\ub2e4. \uc774\uac83\uc740 \uc18d\uc784\uc218\uac00 \uc544\ub2c8\ub77c \uc2e0\ub8b0\uc640 \ud22c\uba85\uc131\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc2dc\ubbac\ub808\uc774\uc158\uc740 \uae30\uc220\uc801 \ub3c4\uad6c\ub9cc\uc774 \uc544\ub2c8\ub77c \uacf5\uacf5 \ub3c4\uad6c\uc5ec\uc57c \ud569\ub2c8\ub2e4.</li><li><strong>\uad50\ud1b5\uc744 \ub118\uc5b4 \uc0dd\uac01\ud558\ub77c:</strong> \ub0b4\ud3ec\uc758 \ubaa8\ub378\uc5d0\ub294 CO\u2082 \ucd94\uc815, \uc74c\ud5a5 \ubd84\uc11d \ubc0f \ub2e4\uc911 \ubaa8\ub4dc \uc0c1\ud638\uc791\uc6a9\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4. \ub3c4\uc2dc\uc758 \uc2dc\ubbac\ub808\uc774\uc158\uc774 \uc790\ub3d9\ucc28\ub9cc \ubaa8\ub378\ub9c1\ud55c\ub2e4\uba74, \uadf8\uac83\uc740 \ubaa8\ube4c\ub9ac\ud2f0\ub97c \ubaa8\ub378\ub9c1\ud558\ub294 \uac83\uc774 \uc544\ub2c8\ub77c \uc5b4\uc81c\ub97c \ubaa8\ub378\ub9c1\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.</li></ul>"},"llmTrafficAnalysis":{"title":"LLM \uae30\ubc18 \ubbf8\uc2dc\uad50\ud1b5\ubd84\uc11d\ub3c4\uad6c v1.0 \ucd9c\uc2dc","date":"2025\ub144 9\uc6d4 12\uc77c","category":"\ube44\uc988\ub2c8\uc2a4","author":"\ub3c4\ucc29\ud300","readTime":"4\ubd84 \uc77d\uae30","contentIntro":"<p>\uad50\ud1b5 \ud589\ub3d9\uc744 \uc774\ud574\ud558\uace0 \ubd84\uc11d\ud558\ub294 \ubc29\uc2dd\uc744 \ud601\uc2e0\ud558\ub294 \ud601\uc2e0\uc801\uc778 <strong>LLM \uae30\ubc18 \ubbf8\uc2dc\uad50\ud1b5\ubd84\uc11d\ub3c4\uad6c v1.0</strong>\uc758 \ucd9c\uc2dc\ub97c \ubc1c\ud45c\ud558\uac8c \ub418\uc5b4 \uae30\uc069\ub2c8\ub2e4. \uc774\ub294 \uc9c4\u
2c815\ud55c \ud30c\uad34\uc801 \uae30\uc220\uc785\ub2c8\ub2e4.</p>","contentMain":"<h2>\ud601\uc2e0\uc801\uc778 AI \uae30\ubc18 \ubd84\uc11d</h2><p>\uc774 \ucd5c\ucca8\ub2e8 \ub3c4\uad6c\ub294 \uad50\ud1b5 \ubd84\uc11d \ubd84\uc57c\uc758 \uc911\uc694\ud55c \ub3cc\ud30c\uad6c\ub97c \ub098\ud0c0\ub0b4\uba70, <strong>\ub300\ud615\uc5b8\uc5b4\ubaa8\ub378(LLM)</strong>\uc758 \ud798\uacfc \uace0\uae09 \ubbf8\uc2dc \uc2dc\ubbac\ub808\uc774\uc158 \uae30\ub2a5\uc744 \uacb0\ud569\ud569\ub2c8\ub2e4. \uc6b0\ub9ac\uc758 \ub3c5\uc810 \uae30\uc220\uc740 \uad50\ud1b5 \ud328\ud134, \uc6b4\uc804\uc790 \ud589\ub3d9, \uc2dc\uc2a4\ud15c \ucd5c\uc801\ud654 \uae30\ud68c\uc5d0 \ub300\ud55c \uc804\ub840 \uc5c6\ub294 \ud1b5\ucc30\ub825\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.</p><blockquote>\uc774 \ub3c4\uad6c\ub294 \uad50\ud1b5 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1\uc758 \uc0c8\ub85c\uc6b4 \uc2dc\ub300\ub97c \uc5f4\uba70, \uc774\uc804\uc5d0\ub294 \uc804\ubb38\uac00 \ubd84\uc11d\uc5d0 \uba87 \uc2dc\uac04\uc774 \ud544\uc694\ud588\ub358 \ubcf5\uc7a1\ud55c \ubd84\uc11d \uc791\uc5c5\uc744 AI \uc9c0\uc6d0\uc73c\ub85c \uba87 \ubd84 \ub9cc\uc5d0 \uc644\ub8cc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.</blockquote><p>\ubc84\uc804 1.0\uc774 \ud604\uc7ac \ucd9c\uc2dc\ub418\uc5c8\uc73c\uba70, \uc774\ub294 \uc6b0\ub9ac AI \uae30\ubc18 \uad50\ud1b5 \ubd84\uc11d \uc81c\ud488\uad70\uc758 \uc2dc\uc791\uc5d0 \ubd88\uacfc\ud569\ub2c8\ub2e4. \uc544\ub798 \ub370\ubaa8\ub97c \ud1b5\ud574 \uc2e4\uc81c \uc791\ub3d9 \ubaa8\uc2b5\uc744 \ud655\uc778\ud574\ubcf4\uc138\uc694!</p>","ctaButton":"\uad50\ud1b5 \ubd84\uc11d \uc194\ub8e8\uc158 \uc0b4\ud3b4\ubcf4\uae30"},"ptvCertified":{"title":"PTV \uacf5\uc778 \uad50\uc721\uc790","date":"2025\ub144 8\uc6d4 25\uc77c","author":"\uae40\uc778\ud76c","readTime":"3\ubd84 \uc77d\uae30","content":"<p>KAIST\uc5d0\uc11c PTV \uacf5\uc778 \uad50\uc721\uc790 3\uba85\uc774 \ubc30\ucd9c\ub418\uc5c8\uc2b5\ub2c8\ub2e4.</p><h2>\ud55c\uad6d \ucd5c\ucd08\uc758 \uc5ed\uc0ac\uc801 \uc131\uacfc</h2><p>\ud55c\uad6d \ucd5c\ucd08\ub85c KAIST \uc5f0\uad6c\uc9c4(\uae40\uc778\ud76c \uad50\uc218, \uc624\ud0dc\ud638 \ubc15\uc0ac, \uae40\ud0dc\uade0 \uc5f0\uad6c\uc6d0)\uc774 <strong>\uacf5\uc778 \uad50\uc721\uc790</strong>\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4.</p><p>\uc55e\uc73c\ub85c KAIST\uc5d0\uc11c PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uad50\uc721\uc744 \ubc1b\ub294 \ubd84\ub4e4\uc5d0\uac8c\ub294 <em>\uacf5\uc2dd PTV \uc778\uc99d\uc11c</em>\uac00 \uc81c\uacf5\ub429\ub2c8\ub2e4.</p><div class=\\"training-programs-section\\"><div class=\\"training-content\\"><h3>\uad50\uc721 \ud504\ub85c\uadf8\ub7a8</h3><p>\ucd1d <strong>5\uac1c \uc18c\ud504\ud2b8\uc6e8\uc5b4 \ud504\ub85c\uadf8\ub7a8</strong> \uad50\uc721\uc5d0 \ucc38\uc5ec\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:</p><ul><li>Visum</li><li>Vissim</li><li>VisWalk</li><li>VisVap</li><li>Vistro</li></ul></div><div class=\\"training-image\\"><img src=\\"TRAINING_FACILITIES_IMAGE\\" alt=\\"PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\uac00 \uad6c\ube44\ub41c \uad50\uc721 \uc2dc\uc124\\" class=\\"inline-training-image\\" /></div></div><blockquote>\uc774 \uc778\uc99d\uc740 \ud55c\uad6d\uc758 \uad50\ud1b5 \ubaa8\ub378\ub9c1 \ubc0f \uc2dc\ubbac\ub808\uc774\uc158 \uc5ed\ub7c9 \uac15\ud654\uc5d0 \uc911\uc694\ud55c \uc774\uc815\ud45c\uac00 \ub429\ub2c8\ub2e4.</blockquote><p>\uc774 \uc131\uacfc\ub294 KAIST\ub97c \uc9c0\uc5ed \ub0b4 PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uad50\uc721\uc758 \uc120\ub3c4 \uae30\uad00\uc73c\ub85c \uc790\ub9ac\ub9e4\uae40\uc2dc\ucf1c, \ud559\uc0dd\ub4e4\uacfc \uc804\ubb38\uac00\ub4e4\uc5d0\uac8c \uc138\uacc4 \uc218\uc900\uc758 \uad50\uc721\uacfc \uacf5\uc2dd \uc778\uc99d \uae30\ud68c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.</p>","imageCaption1":"\uacf5\uc2dd \uc778\uc99d\uc11c\ub97c \ubcf4\uc5ec\uc8fc\ub294 KAIST PTV \uacf5\uc778 \uad50\uc721\uc790\ub4e4","imageCaption2":"\uc885\ud569\uc801\uc778 \uad50\uc721 \ud504\ub85c\uadf8\ub7a8\uc744 \uc704\ud55c PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\uac00 \uad6c\ube44\ub41c \uad50\uc721 \uc2dc\uc124"},"kaistMobilityTech2025":{"title":"KAIST, \ubbf8\ub798 \ubaa8\ube4c\ub9ac\ud2f0 \uae30\uc220 \ucd1d\ucd9c\ub3d9","date":"2025\ub144 9\uc6d4 23\uc77c","category":"\uae30\uc220","author":"\uad6c\ubcf8\ud601 \uae30\uc790","readTime":"5\ubd84 \uc77d\uae30","source":"https://biz.heraldcorp.com/article/10581881?ref=naver","content":"<p><strong>\uc6d0\ubb38 \ucd9c\ucc98:</strong> <a href=\\"https://biz.heraldcorp.com/article/10581881?ref=naver\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\" style=\\"color: #60A5FA; font-style: italic;\\">\ud5e4\ub7f4\ub4dc\uacbd\uc81c \uae30\uc0ac \ubcf4\uae30</a></p><p>KAIST\ub294 23\uc77c \ucda9\ub0a8 \ub0b4\ud3ec\uc9c0\uc2dd\uc0b0\uc5c5\uc13c\ud130\uc5d0\uc11c <strong>\'2025 \uae30\uc220\uc2dc\uc5f0\ud68c\'</strong>\ub97c \uc5f4\uace0 \ubbf8\ub798 \ubaa8\ube4c\ub9ac\ud2f0\xb7AI \uae30\uc220 \uc0c1\uc6a9\ud654 \uc0ac\ub840\ub97c \uc120\ubcf4\uc600\ub2e4.</p><h2>KAIST \ubaa8\ube4c\ub9ac\ud2f0 \uc5f0\uad6c\uc18c\uc758 \ud601\uc2e0</h2><p>KAIST \ubaa8\ube4c\ub9ac\ud2f0 \uc5f0\uad6c\uc18c\ub294 \uc6b0\ub9ac \uc0ac\ud68c\uc758 \uc774\ub3d9 \ubb38\uc81c \ud574\uacb0\uc744 \ubaa9\ud45c\ub85c, \uc790\uc728\uc8fc\ud589, \ub3c4\uc2ec\ud56d\uacf5\uad50\ud1b5(UAM/UAV), \uce5c\ud658\uacbd \uc774\ub3d9\uae30\uc220 \ubfd0 \uc544\ub2c8\ub77c \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uc5d0\ub108\uc9c0 \ub4f1 \ub2e4\uc591\ud55c \uae30\uc220 \ubd84\uc57c\uc5d0\uc11c \uc0b0\ud559\ud611\ub825 \uc5f0\uad6c\ub97c \uc218\ud589\ud558\uace0 \uc788\ub2e4. \uc774\ubc88 \u
2c2dc\uc5f0\ud68c\ub294 KAIST \uc5f0\uad6c\ub97c \ucda9\uccad\ub0a8\ub3c4\uc758 \uc704\ud0c1 \uc0ac\uc5c5\uacfc \uc5f0\uacc4\ud574 \ucd94\uc9c4\ub41c \uacb0\uacfc\ubb3c\ub85c, \uc5f0\uad6c \uc131\uacfc\uac00 \uc9c0\uc5ed \uc0b0\uc5c5\uacfc \uc5f0\uacb0\ub418\ub294 \uc2e4\uc9c8\uc801\uc778 \ubaa8\uc2b5\uc744 \ubcf4\uc5ec\uc92c\ub2e4.</p><h2>6\ub300 \ud575\uc2ec \uae30\uc220 \ubc1c\ud45c</h2><p>\uc2dc\uc5f0\ud68c\uc5d0\uc11c\ub294 \uad50\uc6d0 \ucc3d\uc5c5\uae30\uc5c5\uc778 \u321c\ud4e8\ucc98\uc774\ube0c\uc774(\ub300\ud45c: \uae40\uacbd\uc218), <strong>\u321c\ub3c4\ucc29(\ub300\ud45c: \uae40\uc778\ud76c)</strong>\uacfc \ub3d9\ubb38 \ucc3d\uc5c5\uae30\uc5c5 \u321c\ub178\ud0c0(\ub300\ud45c: \ucc44\uba85\uc218)\ub97c \ube44\ub86f\ud55c \ud611\ub825 \uae30\uc5c5\uacfc \ud568\uaed8 \uc0c1\uc6a9\ud654 \ub2e8\uacc4\uc5d0 \uc9c4\uc785\ud55c \uc131\uacfc\uac00 \ubc1c\ud45c\ub410\ub2e4.</p><div class=\\"key-technologies\\"><h3>\uacf5\uac1c\ub41c 6\uac1c \ud575\uc2ec \uae30\uc220</h3><ul><li><strong>\uc774\ub3d9\ud615 \uc5d0\ub108\uc9c0 \uc800\uc7a5 \uc7a5\uce58(ESS)</strong> \uc804\ub825 \ud50c\ub7ab\ud3fc</li><li><strong>\ub0b4\ud3ec \ub514\uc9c0\ud138 \ud2b8\uc708</strong></li><li><strong>\uc911\uc18c\uae30\uc5c5 \ud2b9\ud654\ud615 \uc790\uc728\uc8fc\ud589\ub85c\ubd07</strong></li><li><strong>\uc6d0\uaca9\uc8fc\ud589 \ubc1c\ub808\ud30c\ud0b9</strong></li><li><strong>\uc790\uc728\uc8fc\ud589 \ud14c\uc2a4\ud2b8\ubca0\ub4dc</strong></li><li><strong>AI \ucef4\ud4e8\ud305\uc13c\ud130</strong></li></ul></div><h3>\uc8fc\uc694 \uae30\uc220\ubcc4 \uc138\ubd80 \ub0b4\uc6a9</h3><p><strong>\'\uc774\ub3d9\ud615 \uc5d0\ub108\uc9c0 \uc800\uc7a5 \uc7a5\uce58(ESS, Energy Storage System) \uc804\ub825 \ud50c\ub7ab\ud3fc\'</strong>\uc740 \uc774\uc724\uad6c \uad50\uc218\uac00 \uc8fc\uac1c\ubc1c\ud55c \uae30\uc220\ub85c, \uc7ac\ub09c \ud604\uc7a5\uc774\ub098 \ub3c4\uc11c \uc9c0\uc5ed \ub4f1 \uc804\ub825 \uacf5\uae09\uc774 \uc5b4\ub824\uc6b4 \uc9c0\uc5ed\uc5d0\uc11c\ub3c4 \uc548\uc815\uc801\uc778 \uc804\ub825\ub9dd\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\ub294 \uc194\ub8e8\uc158\uc73c\ub85c \uce5c\ud658\uacbd \uc804\ub825 \ubd84\uc57c\uc758 \uc0ac\uc5c5\ud654 \uac00\ub2a5\uc131\uc744 \uc785\uc99d\ud588\ub2e4.</p><p><strong>\'\ub0b4\ud3ec \ub514\uc9c0\ud138 \ud2b8\uc708\'</strong>\uc740 \uae40\ud0dc\uade0 \ucc45\uc784\uc5f0\uad6c\uc6d0 \uc5f0\uad6c\ud300\uc774 \u321c\ub3c4\ucc29\uacfc \ud611\ub825\ud574 \uc0c1\uc6a9\ud654\ud588\uc73c\uba70, \uc2e4\uc81c \ub3c4\uc2dc\uc640 \uad50\ud1b5 \uc0c1\ud669\uc744 3D \uac00\uc0c1\ud658\uacbd\uc73c\ub85c \uad6c\ud604\ud574 \uad50\ud1b5 \ubaa8\ub2c8\ud130\ub9c1, \uc0c1\ud669 \uc608\uce21, \uc7ac\ub09c \ub300\uc751, \uc815\ucc45 \uac80\uc99d \ub4f1\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\uc73c\uba70, \uc2a4\ub9c8\ud2b8\uc2dc\ud2f0 \uad6c\ucd95\uc758 \ud575\uc2ec\uae30\uc220\ub85c \uc8fc\ubaa9\ubc1b\uace0 \uc788\ub2e4.</p><p><strong>\'\uc911\uc18c\uae30\uc5c5 \ud2b9\ud654\ud615 \uc790\uc728\uc8fc\ud589\ub85c\ubd07\'</strong>\uc740 \uae40\uacbd\uc218\xb7\ucd5c\uadfc\ud558 \uad50\uc218 \uc5f0\uad6c\ud300\uc774 \uac1c\ubc1c\ud55c \uc911\uc18c\uae30\uc5c5 \ubb3c\ub958 \ud658\uacbd\uc5d0 \ucd5c\uc801\ud654\ub41c \uc790\uc728\uc8fc\ud589 \ubb3c\ub958 \ub85c\ubd07\uc73c\ub85c \uc2dc\uc5f0 \ud604\uc7a5\uc5d0\uc11c \uacf5\uc7a5 \ub0b4 \ubb3c\ub958 \uc801\uce58\ub300\ub97c \uc815\ubc00\ud558\uac8c \uc774\ub3d9\xb7\uc801\uc7ac\ud558\ub294 \ubaa8\uc2b5\uc744 \ubcf4\uc5ec\uc8fc\uba70 \uc911\uc18c \uc81c\uc870\uc5c5 \ud601\uc2e0 \uac00\ub2a5\uc131\uc744 \ud655\uc778\uc2dc\ucf30\ub2e4.</p><blockquote>\uc6d0\uaca9\uc8fc\ud589 \ubc1c\ub808\ud30c\ud0b9 \uae30\uc220\uc740 \ub300\uc804\uc5d0\uc11c \uc6d0\uaca9 \uc81c\uc5b4\ub41c \ucc28\ub7c9\uc774 \ub0b4\ud3ec \uc5f0\uad6c\uc18c\uae4c\uc9c0 \uc774\ub3d9\ud574 \ubaa9\uc801\uc9c0 \uc8fc\ucc28\uae4c\uc9c0 \uc644\ub8cc\ud558\ub294 \ubaa8\uc2b5\uc744 \uc120\ubcf4\uc774\uba70, \uc6d0\uaca9 \uc790\uc728\uc8fc\ud589\uc758 \uc548\uc815\uc131\uacfc \uc2e4\ud6a8\uc131\uc744 \uc785\uc99d\ud588\ub2e4.</blockquote><p><strong>\'\uc6d0\uaca9\uc8fc\ud589 \ubc1c\ub808\ud30c\ud0b9 \uae30\uc220\'</strong>\uc740 \uae40\uc778\ud76c \uad50\uc218\uac00 \u321c\ub3c4\ucc29, \u321c\ud1a0\ub80c\ud1a0\uc2dc\uc2a4\ud15c\uc988, \u321c\uc774\ubaa8\uc158, \uad6d\uac00 \uacfc\ud559\uae30\uc220 \uc5f0\uad6c\ub9dd KREONET(\ud55c\uad6d\uacfc\ud559\uae30\uc220\uc815\ubcf4\uc5f0\uad6c\uc6d0 \uc6b4\uc601)\uacfc \ud611\ub825\ud574 \uc0c1\uc6a9\ud654\ub97c \ucd94\uc9c4 \uc911\uc774\ub2e4.</p><p><strong>\'\uc790\uc728\uc8fc\ud589 \ud14c\uc2a4\ud2b8\ubca0\ub4dc\'</strong>\ub294 \uc548\ud76c\uc9c4\xb7\ub178\ubbfc\uade0 \uad50\uc218\uac00 \uad6c\ucd95\ud55c \ud50c\ub7ab\ud3fc\uc73c\ub85c, \ucd95\uc18c\ucc28 \uae30\ubc18 \uc790\uc728\uc8fc\ud589 \uc5f0\uad6c\uc131\uacfc\ub97c \uad50\uc721\xb7\uc0b0\uc5c5 \uc2e4\uc99d \ud50c\ub7ab\ud3fc\uc73c\ub85c \ud655\uc7a5\ud55c \uc0ac\ub840\ub2e4. KAIST \ubaa8\ube4c\ub9ac\ud2f0 \uc5f0\uad6c\uc18c\ub294 \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ub0b4\ub144 <strong>\'2025 KAIST \ubaa8\ube4c\ub9ac\ud2f0 \ucc4c\ub9b0\uc9c0 \uacbd\uc9c4\ub300\ud68c\'</strong>\ub97c \uc5f4\uc5b4 \ucc28\uc138\ub300 \uc778\uc7ac\uc591\uc131\uacfc \uae30\uc220\uc0ac\uc5c5\ud654\ub97c \ub3d9\uc2dc\uc5d0 \ucd94\uc9c4\ud560 \uc608\uc815\uc774\ub2e4.</p><p><strong>\'AI \ucef4\ud4e8\ud305\uc13c\ud130\'</strong>\ub294 \uace7 \ucf54\uc2a4\ub2e5 \uc0c1\uc7a5\uc744 \uc55e\ub454 \u321c\ub178\ud0c0\uac00 \uacf5\uac1c\ud588\uc73c\uba70, RE100 \uae30\ubc18 \uc804\ub825 \uc2dc\uc2a4\ud15c\uacfc AI \ucd5c\uc801\ud654 \uae30\uc220\uc744 \uc18c\uac1c\ud558\uace0 \uc785\uc8fc\uae30\uc5c5\uacfc\uc758 \ud611\ub825 \ube44\uc804\uc744 \uc81c\uc2dc\ud558\uba70 AI \uc0dd\ud0dc\uacc4 \ud655\uc0b0\uc5d0 \uae30\uc5ec\ud558\uaca0\ub2e4\ub294 \ubaa9\ud45c\ub97c \ubc1d\ud614\ub2e4.</p><h2>\uc5f0\uad6c\uc18c\uc7a5 \ubc0f \ucd1d\uc7a5 \ucf54\uba58\ud2b8</h2><blockquote>\uc7a5\uae30\ud0dc KAIST \ubaa8\ube4c\ub9ac\ud2f0 \uc5f0\uad6c\uc18c\uc7a5\uc740 \\"\uc774\ubc88 \u
2c2dc\uc5f0\ud68c\ub294 KAIST \uc5f0\uad6c\uc131\uacfc\uac00 \uc0b0\uc5c5 \ud604\uc7a5\uc73c\ub85c \ud655\uc0b0\ub418\ub294 \uad6c\uccb4\uc801\uc778 \uacfc\uc815\uc744 \ubcf4\uc5ec\uc900 \uc790\ub9ac\\"\ub77c\uba70 \\"\uc55e\uc73c\ub85c\ub3c4 \uc9c0\uc790\uccb4 \ubc0f \uae30\uc5c5\uacfc \uae34\ubc00\ud788 \ud611\ub825\ud574 \ubbf8\ub798 \ubaa8\ube4c\ub9ac\ud2f0\xb7AI \uae30\uc220\uc758 \uc0c1\uc6a9\ud654\uc640 \uc9c0\uc5ed \uc0b0\uc5c5 \ubc1c\uc804\uc744 \uc120\ub3c4\ud558\uaca0\ub2e4\\"\uace0 \ubc1d\ud614\ub2e4.</blockquote><blockquote>\uc774\uad11\ud615 KAIST \ucd1d\uc7a5\uc740 \\"KAIST\ub294 \uae30\uc220\ud601\uc2e0\uc73c\ub85c \uad6d\uac00\uc640 \uc9c0\uc5ed\uc0ac\ud68c\uc5d0 \uae30\uc5ec\ud558\ub294 \uac83\uc744 \uc0ac\uba85\uc73c\ub85c \uc0bc\uace0 \uc788\ub2e4. \uc5f0\uad6c\uc131\uacfc\uac00 \uc0b0\uc5c5 \ud604\uc7a5\uc5d0\uc11c \uc2e4\uc9c8\uc801\uc778 \ubcc0\ud654\ub97c \ub9cc\ub4dc\ub294 \ubaa8\uc2b5\uc744 \ub73b\uae4a\uac8c \uc0dd\uac01\ud558\uba70, \uc55e\uc73c\ub85c\ub3c4 \uae30\uc5c5\uacfc \uc9c0\uc790\uccb4\uc640\uc758 \ud611\ub825\uc744 \ud1b5\ud574 \uae00\ub85c\ubc8c \ubaa8\ube4c\ub9ac\ud2f0 \ud601\uc2e0\uacfc \uc0c8\ub85c\uc6b4 \uac00\uce58 \ucc3d\ucd9c\uc744 \uc120\ub3c4\ud558\uaca0\ub2e4\\"\uace0 \uac15\uc870\ud588\ub2e4.</blockquote>"},"ptvApacUgm2025":{"title":"\uae40\ud0dc\uade0, PTV \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305 2025\uc5d0\uc11c \ubc1c\ud45c","date":"2025\ub144 9\uc6d4 24\uc77c","category":"\ud559\uc220\ub300\ud68c","author":"\ub3c4\ucc29 \ud300","readTime":"4\ubd84 \uc77d\uae30","content":"<p><strong>\ud589\uc0ac \ucd9c\ucc98:</strong>
2 <a href=\\"https://www.ptvgroup.com/en-us/node/2201\\" target=\\"_blank\\" rel=\\"noopener noreferrer\\" style=\\"color: #60A5FA; font-style: italic;\\">PTV APAC UGM 2025 \uacf5\uc2dd \ud398\uc774\uc9c0</a></p><p><strong>PTV \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305 2025</strong>\uac00 2025\ub144 9\uc6d4 24\uc77c \uc218\uc694\uc77c \uc2f1\uac00\ud3ec\ub974\uc5d0\uc11c \uc131\uacf5\uc801\uc73c\ub85c \uac1c\ucd5c\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc62c\ud574\uc758 \uc8fc\uc81c\uc778 <em>\uc2a4\ub9c8\ud2b8 \ubaa8\ube4c\ub9ac\ud2f0, \uc2e4\uc9c8\uc801 \uc601\ud5a5(Smart Mobility, Real Impact)</em>\uc740 \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc9c0\uc5ed\uc758 \uad50\ud1b5 \uc804\ubb38\uac00\ub4e4\uc774 \ud55c\uc790\ub9ac\uc5d0 \ubaa8\uc5ec PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc758 \ud601\uc2e0\uc801\uc778 \uc751\uc6a9 \uc0ac\ub840\ub97c \uacf5\uc720\ud558\ub294 \uc790\ub9ac\uc600\uc2b5\ub2c8\ub2e4.</p><h2>KAIST\uc758 \ubc1c\ud45c: \ub0b4\ud3ec \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708</h2><p>KAIST\uc758 \uc804\ubb34\uae30\uc220\uace0\ubb38 <strong>\uae40\ud0dc\uade0</strong>\uc774 \uae30\uc870\uc5f0\uc0ac\ub85c \ucd08\uccad\ub418\uc5b4 \uc624\uc804 10:35-10:55\uc5d0 <strong>\\"PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc640 \ud1b5\ud569\ub41c \ub0b4\ud3ec \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708 \ubaa8\ub378\\"</strong>\uc774\ub77c\ub294 \uc8fc\uc81c\ub85c \ubc1c\ud45c\ub97c \uc9c4\ud589\ud588\uc2b5\ub2c8\ub2e4.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKKIM_PHOTO\\" alt=\\"PTV APAC \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305 2025\uc5d0\uc11c \ubc1c\ud45c\ud558\ub294 \uae40\ud0dc\uade0\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\uc2f1\uac00\ud3ec\ub974\uc5d0\uc11c \uc5f4\ub9b0 PTV APAC \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305 2025\uc5d0\uc11c \ubc1c\ud45c\ud558\ub294 \uae40\ud0dc\uade0</figcaption></figure><p>\ubc1c\ud45c\uc5d0\uc11c\ub294 KAIST \uc5f0\uad6c\ud300\uc774 PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4(Visum\uacfc Vissim)\ub97c \ub514\uc9c0\ud138 \ud2b8\uc708 \uae30\uc220\uacfc \ud1b5\ud569\ud558\uc5ec \uac1c\ubc1c\ud55c \ucca8\ub2e8 <strong>\uad50\ud1b5 \ub514\uc9c0\ud138 \ud2b8\uc708 \ud50c\ub7ab\ud3fc</strong>\uc744 \uc120\ubcf4\uc600\uc2b5\ub2c8\ub2e4. \uc774 \ud50c\ub7ab\ud3fc\uc740 \uc2a4\ub9c8\ud2b8\uc2dc\ud2f0 \uc751\uc6a9\uc744 \uc704\ud55c \uc2e4\uc2dc\uac04 \uad50\ud1b5 \ubaa8\ub2c8\ud130\ub9c1, \uc2dc\ubbac\ub808\uc774\uc158 \ubc0f \uc608\uce21\uc744 \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKKIM_PRESENTATION2\\" alt=\\"\ubc1c\ud45c \uc2ac\ub77c\uc774\ub4dc\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc640 \ud1b5\ud569\ub41c \ub0b4\ud3ec \ubaa8\ube4c\ub9ac\ud2f0 \ub514\uc9c0\ud138 \ud2b8\uc708 \ubaa8\ub378 \ubc1c\ud45c</figcaption></figure><h2>PTV APAC UGM 2025 \uc18c\uac1c</h2><p>PTV APAC \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305\uc740 PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub354 \uc2a4\ub9c8\ud2b8\ud558\uace0 \uc9c0\uc18d \uac00\ub2a5\ud55c \ubaa8\ube4c\ub9ac\ud2f0\ub97c \uad6c\ud604\ud558\ub294 \uad50\ud1b5 \uc804\ubb38\uac00\ub4e4\uc758 \uc5f0\ub840 \uc9c0\uc5ed \ubaa8\uc784\uc785\ub2c8\ub2e4. \uc774 \ud589\uc0ac\uc5d0\uc11c\ub294 \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc804\uc5ed\uc758 \uc120\ub3c4\uc801\uc778 \uc804\ubb38\uac00\ub4e4\uc758 \ubc1c\ud45c\ub97c \ud1b5\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \ubd84\uc57c\uc758 \uc2e4\uc81c \uc194\ub8e8\uc158\uc744 \uc120\ubcf4\uc600\uc2b5\ub2c8\ub2e4:</p><ul><li>\ub300\uc911\uad50\ud1b5 \uacc4\ud68d</li><li>\uad50\ud1b5 \uc2dc\ubbac\ub808\uc774\uc158 \ubc0f \ucd5c\uc801\ud654</li><li>\ub514\uc9c0\ud138 \ud2b8\uc708 \uc751\uc6a9</li><li>\uc2a4\ub9c8\ud2b8\uc2dc\ud2f0 \uac1c\ubc1c</li><li>\ubaa8\ube4c\ub9ac\ud2f0\uc5d0 \ub300\ud55c \ud64d\uc218 \uc601\ud5a5 \ud3c9\uac00</li><li>AI \uae30\ubc18 \uad50\ud1b5 \uad00\ub9ac</li></ul><blockquote>\uc62c\ud574 UGM\uc740 \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc9c0\uc5ed\uc758 PTV \uc0ac\uc6a9\uc790\ub4e4\uc774 AI, \ub514\uc9c0\ud138 \ud2b8\uc708, \ud3ec\uc6a9\uc801 \uacc4\ud68d \uc811\uadfc\ubc95\uc744 \ud1b5\ud574 \ub370\uc774\ud130\ub97c \uc2e4\ud589\uc73c\ub85c \uc804\ud658\ud558\ub294 \ubc29\ubc95\uc744 \uac15\uc870\ud588\uc2b5\ub2c8\ub2e4.</blockquote><h3>\ud589\uc0ac \uc138\ubd80\uc815\ubcf4</h3><p><strong>\ub0a0\uc9dc:</strong> 2025\ub144 9\uc6d4 24\uc77c \uc218\uc694\uc77c<br/><strong>\uc2dc\uac04:</strong> \uc624\uc804 10\uc2dc - \uc624\ud6c4 5\uc2dc, \ub124\ud2b8\uc6cc\ud0b9 \uc74c\ub8cc \ud589\uc0ac<br/><strong>\uc7a5\uc18c:</strong> Overlap @ The Working Capitol, 1 Keong Saik Road, Singapore S089109<br/><strong>\ud615\uc2dd:</strong>
2 \ud558\uc774\ube0c\ub9ac\ub4dc (\ub300\uba74 \ubc0f Zoom \uc628\ub77c\uc778)</p><h2>\uc8fc\uc694 \ud558\uc774\ub77c\uc774\ud2b8</h2><p>\uae40\ud0dc\uade0\uc758 \ubc1c\ud45c\ub294 PTV Visum \ubc0f Vissim \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc640 KAIST\uc758 \ub3c5\uc790\uc801\uc778 \ub514\uc9c0\ud138 \ud2b8\uc708 \uae30\uc220\uc758 \uc131\uacf5\uc801\uc778 \ud1b5\ud569\uc744 \ubcf4\uc5ec\uc8fc\uc5c8\uc73c\uba70, \ub2e4\uc74c\uc744 \uc704\ud55c \uc885\ud569 \ud50c\ub7ab\ud3fc\uc744 \uad6c\ucd95\ud588\uc2b5\ub2c8\ub2e4:</p><ul><li>\uc2e4\uc2dc\uac04 \uad50\ud1b5 \ubaa8\ub2c8\ud130\ub9c1 \ubc0f \uc2dc\uac01\ud654</li><li>\uc2dc\ub098\ub9ac\uc624 \uc2dc\ubbac\ub808\uc774\uc158 \ubc0f \uc608\uce21</li><li>\uad50\ud1b5 \ucd5c\uc801\ud654 \uc804\ub7b5</li><li>\ub370\uc774\ud130 \uae30\ubc18 \uc815\ucc45 \uc758\uc0ac\uacb0\uc815 \uc9c0\uc6d0</li></ul><figure class=\\"article-figure\\"><img src=\\"IMAGE_TKKIM_CERTIFICATE\\" alt=\\"PTV \uacf5\uc778 \uad50\uc721\uc790 \uc790\uaca9\uc99d\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\uae40\ud0dc\uade0\uc5d0\uac8c \uc218\uc5ec\ub41c PTV \uacf5\uc778 \uad50\uc721\uc790 \uc790\uaca9\uc99d</figcaption></figure><p>\uc774\ub7ec\ud55c \ud601\uc2e0\uc801\uc778 \uc811\uadfc \ubc29\uc2dd\uc740 KAIST\uc640 \ub3c4\ucc29\uc744 \uad50\ud1b5 \ub514\uc9c0\ud138 \ud2b8\uc708 \uac1c\ubc1c\uc758 \uc120\ub450\uc8fc\uc790\ub85c \uc790\ub9ac\ub9e4\uae40\ud558\uac8c \ud558\uba70, \uc138\uacc4\uc801 \uc218\uc900\uc758 \uc2dc\ubbac\ub808\uc774\uc158 \ub3c4\uad6c\uc640 \ucd5c\ucca8\ub2e8 AI \ubc0f \uc2dc\uac01\ud654 \uae30\uc220\uc744 \uacb0\ud569\ud588\uc2b5\ub2c8\ub2e4.</p>"},"changhuiKimInternship":{"title":"\uae40\ucc3d\ud76c \ud559\uc0dd, KAIST-PTV \uacf5\ub3d9 \uc778\ud134\uc2ed \ud504\ub85c\uadf8\ub7a8 \uc131\uacf5\uc801\uc73c\ub85c \uc644\ub8cc","date":"2025\ub144 8\uc6d4 29\uc77c","category":"\uc778\ud134\uc2ed","author":"\ub3c4\ucc29 \ud300","readTime":"3\ubd84 \uc77d\uae30","content":"<p>KAIST \ucef4\ud4e8\ud130\uacf5\ud559\uacfc 4\ud559\ub144 <strong>\uae40\ucc3d\ud76c</strong> \ud559\uc0dd\uc774 <strong>KAIST-PTV Group \uc5ec\ub984 \uc778\ud134\uc2ed \ud504\ub85c\uadf8\ub7a8</strong>\uc744 2025\ub144 8\uc6d4 29\uc77c \uc131\uacf5\uc801\uc73c\ub85c \uc644\ub8cc\ud558\uc600\uc2b5\ub2c8\ub2e4.</p><h2>\uc778\ud134\uc2ed \uc5f0\uad6c \uc8fc\uc81c</h2><div class=\\"content-with-image-section\\"><div class=\\"content-text\\"><p>\uae40\ucc3d\ud76c \ud559\uc0dd\uc758 \uc778\ud134\uc2ed \uc8fc\uc81c\ub294 <strong>\\"AI \uae30\ubc18 \ud569\uc131 \uc778\uad6c \ubc0f \ud65c\ub3d9 \uc0dd\uc131\uc744 \uc704\ud55c Visum \uae30\ubc18 \uac80\uc99d \ud504\ub808\uc784\uc6cc\ud06c (A Visum-Based Validation Framework for AI-Driven Synthetic Population and Activity Generation)\\"</strong>\uc600\uc2b5\ub2c8\ub2e4.</p><p>\uc774\ubc88 \uc5f0\uad6c\ub294 <strong>\uc5d0\uc774\uc804\ud2b8 \uae30\ubc18 \ubaa8\ub378\ub9c1(ABM, Agent-Based Modeling)</strong>, \ud569\uc131 \uc778\uad6c \uc0dd\uc131, \uadf8\ub9ac\uace0 \uc2e4\uc81c \ud658\uacbd \uac80\uc99d\uc5d0 \uc911\uc810\uc744 \ub450\uc5c8\uc73c\uba70, \uad50\ud1b5 \uc5f0\uad6c \ubd84\uc57c\uc5d0\uc11c <strong>PTV Visum</strong> \uc18c\ud504\ud2b8\uc6e8\uc5b4\ub97c \uad11\ubc94\uc704\ud558\uac8c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uae30\ubc18 \ubaa8\ub378\ub9c1 \ubc0f \uac80\uc99d \ud504\ub808\uc784\uc6cc\ud06c\uc5d0 \ub300\ud55c \uadc0\uc911\ud55c \ud1b5\ucc30\uc744 \uc81c\uacf5\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc778\ud134\uc2ed \ud504\ub85c\uc81d\ud2b8\ub294 AI \uae30\ubc18 \uc811\uadfc\ubc95\uacfc \uae30\uc874 \uad50\ud1b5 \uacc4\ud68d \ub3c4\uad6c\ub97c \ud1b5\ud569\ud558\uc5ec \uac15\ub825\ud55c \uac80\uc99d \ubc29\ubc95\ub860\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \uc131\uacf5\ud558\uc600\uc2b5\ub2c8\ub2e4.</p></div><div class=\\"content-image\\"><img src=\\"IMAGE_CHANGHUI_CERTIFICATE\\" alt=\\"KAIST-PTV Group \uc5ec\ub984 \uc778\ud134\uc2ed \uc218\ub8cc\uc99d\\" class=\\"inline-content-image\\" /><p style=\\"font-size: 0.9rem; color: #64748b; font-style: italic; margin-top: 0.5rem;\\">\uae40\ucc3d\ud76c \ud559\uc0dd\uc758 KAIST-PTV Group \uc5ec\ub984 \uc778\ud134\uc2ed \uc218\ub8cc\uc99d</p></div></div><blockquote>\uc778\ud134\uc2ed \ud504\ub85c\uc81d\ud2b8\ub294 \ubaa8\ube4c\ub9ac\ud2f0 \uc5f0\uad6c \ub0b4\uc5d0\uc11c \ub370\uc774\ud130 \uae30\ubc18 \ubaa8\ub378\ub9c1\uacfc \uac80\uc99d \ud504\ub808\uc784\uc6cc\ud06c\uc5d0 \uadc0\uc911\ud55c \ud1b5\ucc30\uc744 \uc81c\uacf5\ud558\uba70, PTV Visum\uc744 \uad11\ubc94\uc704\ud558\uac8c \ud65c\uc6a9\ud558\uc600\uc2b5\ub2c8\ub2e4.</blockquote><h2>\uc2f1\uac00\ud3ec\ub974 PTV APAC \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305 \ucc38\uc11d</h2><p>\uc778\ud134\uc2ed\uc758 \uc131\uacfc\ub85c \uae40\ucc3d\ud76c \ud559\uc0dd\uc740 <strong>PTV Group\uc774 \uc8fc\ucd5c\ud55c \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305</strong>\uc5d0 \ucd08\uccad\ubc1b\uc544 \uc2f1\uac00\ud3ec\ub974\ub97c \ubc29\ubb38\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774 \ud589\uc0ac\ub294 \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc9c0\uc5ed\uc758 \uad50\ud1b5 \uc804\ubb38\uac00\ub4e4\uc774 \ud55c\uc790\ub9ac\uc5d0 \ubaa8\uc5ec PTV \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc758 \ud601\uc2e0\uc801\uc778 \uc751\uc6a9 \uc0ac\ub840\ub97c \uacf5\uc720\ud558\ub294 \uc911\uc694\ud55c \uad6d\uc81c \ud589\uc0ac\uc785\ub2c8\ub2e4.</p><figure class=\\"article-figure\\"><img src=\\"IMAGE_CHANGHUI_SINGAPORE\\" alt=\\"\uc2f1\uac00\ud3ec\ub974 PTV APAC \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305\\" class=\\"article-image\\" /><figcaption class=\\"article-image-caption\\">\uc2f1\uac00\ud3ec\ub974\uc5d0\uc11c \uc5f4\ub9b0 PTV APAC \uc0ac\uc6a9\uc790 \uadf8\ub8f9 \ubbf8\ud305\uc5d0 \ucc38\uc11d\ud55c \uae40\ucc3d\ud76c \ud559\uc0dd</figcaption></figure><p>Ryan Wong PTV Group \uc544\uc2dc\uc544 \ud0dc\ud3c9\uc591 \uc9c0\uc5ed \ucd1d\uad04\uc774\uc0ac\ub85c\ubd80\ud130 \uc218\uc5ec\ub41c \uacf5\uc2dd \uc218\ub8cc\uc99d\uc740 \uae40\ucc3d\ud76c \ud559\uc0dd\uc758 \ud5cc\uc2e0\uacfc \uc778\ud134\uc2ed \uae30\uac04 \ub3d9\uc548\uc758 \uc6b0\uc218\ud55c \uc131\uacfc\ub97c \uc778\uc815\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.</p><h2>\ud5a5\ud6c4 \uae30\ub300</h2><blockquote>\uc55e\uc73c\ub85c\ub3c4 \uae40\ucc3d\ud76c \ud559\uc0dd\uc758 \uc5f0\uad6c\uc640 \ud559\uc5c5\uc5d0\uc11c \uc88b\uc740 \uc131\uacfc\uac00 \uc788\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.</blockquote><p>
2\uc774\ubc88 \uc778\ud134\uc2ed\uc740 KAIST\uc640 PTV Group\uc758 \uc131\uacf5\uc801\uc778 \uc0b0\ud559\ud611\ub825 \uc0ac\ub840\ub85c, \ud559\uc0dd\ub4e4\uc5d0\uac8c \uc2e4\ubb34 \uacbd\ud5d8\uacfc \uad6d\uc81c\uc801 \ub124\ud2b8\uc6cc\ud0b9 \uae30\ud68c\ub97c \uc81c\uacf5\ud558\ub294 \uc911\uc694\ud55c \ud504\ub85c\uadf8\ub7a8\uc785\ub2c8\ub2e4.</p>"},"scienceTechSupport2025":{"title":"(\uc8fc)\ub3c4\ucc29, 2025\ub144 \ud611\ub825\xb7\uc735\ud569 \uacfc\ud559\uae30\uc220\uc0ac\uc5c5\ud654 \ucd09\uc9c4\uc9c0\uc6d0\uc0ac\uc5c5 \uc120\uc815","date":"2026\ub144 1\uc6d4 16\uc77c","category":"\ube44\uc988\ub2c8\uc2a4","author":"\ub3c4\ucc29\ud300","readTime":"5\ubd84 \uc77d\uae30","content":"<h2>\ud83d\udce2 [\uacf5\uc9c0] (\uc8fc)\ub3c4\ucc29, 2025\ub144 \ud611\ub825\xb7\uc735\ud569 \uacfc\ud559\uae30\uc220\uc0ac\uc5c5\ud654 \ucd09\uc9c4\uc9c0\uc6d0\uc0ac\uc5c5 \uc120\uc815</h2><p>\uce74\uc774\uc2a4\ud2b8 \uc2a4\ud540\uc624\ud504 \uae30\uc5c5 (\uc8fc)\ub3c4\ucc29\uc774 \uacfc\ud559\uae30\uc220\uc815\ubcf4\ud1b5\uc2e0\ubd80 \uc8fc\uad00 <strong>\'2025\ub144 \ud611\ub825\xb7\uc735\ud569 \uacfc\ud559\uae30\uc220\uc0ac\uc5c5\ud654 \ucd09\uc9c4\uc9c0\uc6d0\uc0ac\uc5c5\'</strong>\uc758 \uc218\ud589 \uae30\uad00\uc73c\ub85c \ucd5c\uc885 \uc120\uc815\ub418\uc5c8\uc2b5\ub2c8\ub2e4.</p><p>\uc774\ubc88 \uc0ac\uc5c5\uc740 \uc5f0\uad6c\uc870\ud569\uacfc \ucee8\uc18c\uc2dc\uc5c4\uc744 \uc911\uc2ec\uc73c\ub85c \uac00\uce58\uc0ac\uc2ac \ub0b4 \uae30\uc5c5 \uac04 \ud611\ub825\uc744 \ud65c\uc131\ud654\ud558\uc5ec \uad6d\uac00 \uacfc\ud559\uae30\uc220\uc758 \uc0ac\uc5c5\ud654\ub97c \ucd09\uc9c4\ud558\ub294 \uac83\uc744 \ubaa9\uc801\uc73c\ub85c \ud569\ub2c8\ub2e4. (\uc8fc)\ub3c4\ucc29\uc740 \uc774\ubc88 \uc120\uc815\uc744 \ud1b5\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \uc131\uc7a5\uc744 \ub3c4\ubaa8\ud560 \uc608\uc815\uc785\ub2c8\ub2e4.</p><h2>\ud83d\udd39 \uc8fc\uc694 \ucd94\uc9c4 \ub0b4\uc6a9 \ubc0f \uae30\ub300 \ud6a8\uacfc</h2><h3>\uac00\uce58\uc0ac\uc2ac \uc5f0\uacc4 R&D \uae30\ud68d</h3><p>\uc804\xb7\ud6c4\ubc29 \uc0b0\uc5c5 \uae30\uc5c5\ub4e4\uacfc\uc758 \uc5f0\uacc4\ub97c \ud1b5\ud574 \uc120\ub3c4\uc801\uc778 \uae30\uc220\uacfc \uc81c\ud488, \uc2e0\uacf5\uc815 \uc544\uc774\ud15c\uc744 \ubc1c\uad74\ud558\uace0 \uad6c\uccb4\ud654\ud558\ub294 \uae30\ud68d \uacfc\uc81c\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.</p><h3>\uad6d\uac00 \uc804\ub7b5 \uae30\uc220 \ubd84\uc57c \ud601\uc2e0</h3><p>12\ub300 \uad6d\uac00\uc804\ub7b5\uae30\uc220\ubd84\uc57c\uc640 \uc5f0\uacc4\ud558\uc5ec TRL(\uae30\uc220\uc131\uc219\ub3c4) 6\ub2e8\uacc4 \uc774\uc0c1\uc758 \uc2e4\uc9c8\uc801\uc778 \uc0ac\uc5c5\ud654 \uac00\ub2a5 \uae30\uc220\uc744 \uac1c\ubc1c\ud569\ub2c8\ub2e4.</p><h3>\ud6c4\uc18d R&D \uc5f0\uacc4 \uae30\ud68c \ud655\ubcf4</h3><p>\uc774\ubc88 \uae30\ud68d \uacfc\uc81c\uc758 \uacb0\uacfc \ud3c9\uac00\uc5d0\uc11c \uc6b0\uc218 \uacfc\uc81c\ub85c \uc120\uc815\ub420 \uacbd\uc6b0, 2026\ub144\ubd80\ud130 \uc5f0\uac04 \uc57d 7.5\uc5b5 \uc6d0 \uaddc\ubaa8(\ucd1d 2\ub144)\uc758 \ub300\uaddc\ubaa8 \ud6c4\uc18d R&D \uc9c0\uc6d0\uc744 \ubc1b\uc744 \uc218 \uc788\ub294 \ubc1c\ud310\uc744 \ub9c8\ub828\ud588\uc2b5\ub2c8\ub2e4.</p><h2>\ud83d\udd39 (\uc8fc)\ub3c4\ucc29\uc758 \ub2e4\uc9d0</h2><p>(\uc8fc)\ub3c4\ucc29\uc740 \uc774\ubc88 \uc0ac\uc5c5 \uc120\uc815\uc744 \uacc4\uae30\ub85c \ubaa8\ube4c\ub9ac\ud2f0 \ubd84\uc57c\uc758 \uc790\uc0dd\uc801 \uae30\uc220\ud611\ub825 \uc0dd\ud0dc\uacc4 \uc870\uc131\uc5d0 \uae30\uc5ec\ud558\uace0, \uc5f0\uad6c\uc2e4\uc758 \uc131\uacfc\uac00 \uc0b0\uc5c5 \ud604\uc7a5\uc758 \uc2e4\uc9c8\uc801\uc778 \uac00\uce58\ub85c \uc774\uc5b4\uc9c8 \uc218 \uc788\ub3c4\ub85d \ucd5c\uc120\uc744 \ub2e4\ud558\uaca0\uc2b5\ub2c8\ub2e4.</p><blockquote>\uc800\ud76c\uc640 \ud568\uaed8 \ubbf8\ub798 \ubaa8\ube4c\ub9ac\ud2f0\uc758 \uac00\uce58\uc0ac\uc2ac\uc744 \ub9cc\ub4e4\uc5b4\uac00\ub294 \ud30c\ud2b8\ub108\uc0ac \ubc0f \uad00\uacc4\uc790 \uc5ec\ub7ec\ubd84\uc758 \ub9ce\uc740 \uc131\uc6d0 \ubd80\ud0c1\ub4dc\ub9bd\ub2c8\ub2e4."},"molitAward2025":{"title":"(\uc8fc)\ub3c4\ucc29 \uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac, \uad6d\ud1a0\uad50\ud1b5\ubd80 \uc7a5\uad00 \ud45c\ucc3d \uc218\uc0c1","date":"2025\ub144 12\uc6d4 31\uc77c","category":"\uc218\uc0c1","author":"\ub3c4\ucc29\ud300","readTime":"4\ubd84 \uc77d\uae30","content":"<p>(\uc8fc)\ub3c4\ucc29 <strong>\uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac</strong>\uac00 \ud55c-\uc544\uc138\uc548 \uad50\ud1b5 \ubd84\uc57c \ud611\ub825 \ubc0f \ub514\uc9c0\ud138\ud654\uc5d0 \uae30\uc5ec\ud55c \uacf5\ub85c\ub97c \uc778\uc815\ubc1b\uc544 \uc9c0\ub09c 12\uc6d4 31\uc77c \uad6d\ud1a0\uad50\ud1b5\ubd80 \uc7a5\uad00 \ud45c\ucc3d\uc744 \uc218\uc0c1\ud588\uc2b5\ub2c8\ub2e4.</p><h2>\uad6d\uc81c \ud611\ub825 \uc0ac\uc5c5\uc758 \ud575\uc2ec \uc5ed\ud560</h2><p>\uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac\ub294 \uc9c0\ub09c 2024\ub144\ubd80\ud130 \uad6d\ud1a0\uad50\ud1b5\ubd80 \uad6d\uc81c\ud611\ub825\ud1b5\uc0c1\ub2f4\ub2f9\uad00\uc2e4\uc758 \ud575\uc2ec \uc790\ubb38 \uc5ed\uc744 \ub9e1\uc544, \ub300\ud55c\ubbfc\uad6d\uacfc \uc544\uc138\uc548(ASEAN) \uad6d\uac00 \uac04\uc758 \uad50\ud1b5\ub9dd \uc120\uc9c4\ud654\ub97c \uc704\ud55c \uc8fc\uc694 \uad6d\uc81c \ud611\ub825 \uc0ac\uc5c5\uc744 \uc131\uacf5\uc801\uc73c\ub85c \uc774\ub04c\uc5b4\uc654\uc2b5\ub2c8\ub2e4.</p><h2>\uc8fc\uc694 \uc5c5\uc801 \ubc0f \uc218\ud589 \uacfc\uc81c</h2><p>\uc8fc\uc694 \uc5c5\uc801\uc218\ud589 \uacfc\uc81c\ub85c\ub294 \ub2e4\uc74c \ub450 \uac00\uc9c0\uac00 \uaf3d\ud799\ub2c8\ub2e4:</p><ul><li><strong>\uc544\uc138\uc548 \uc9c0\uc5ed \ub0b4 \uacf5\uacf5\uad50\ud1b5 \ubc0f \ubb3c\ub958 \ub514\uc9c0\ud138\ud654 \uaca9\ucc28 \ubd84\uc11d \uc5f0\uad6c</strong></li><li><strong>2026-2030 \ud55c-\uc544\uc138\uc548 \uad50\ud1b5\ud611\ub825 \ub85c\ub4dc\ub9f5 \uc218\ub9bd</strong></li></ul><p>\uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac\ub294 \uc774\ub97c \ud1b5\ud574 \uc544\uc138\uc548 \uad6d\uac00\ub4e4\uc758 \uad50\ud1b5 \ub514\uc9c0\ud138\ud654 \ud604\ud669\uc744 \uc9c4\ub2e8\ud558\uace0, \ud5a5\ud6c4 5\ub144\uac04 \ud55c\uad6d\uacfc \uc544\uc138\uc548\uc774 \ub098\uc544\uac08 \uc804\ub7b5\uc801 \ud611\ub825 \ubc29\ud5a5\uc744 \uc81c\uc2dc\ud588\ub2e4\ub294 \ud3c9\uc744 \ubc1b\uc2b5\ub2c8\ub2e4.</p><h2>\uc2e4\uc9c8\uc801\uc778 \ud30c\ud2b8\ub108\uc2ed \uad6c\ucd95</h2><p>\ud2b9\ud788 \uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac\ub294 \uc9c0\ub09c 2\ub144 \ub3d9\uc548 \uad6d\ud1a0\uad50\ud1b5\ubd80 \uc2e4\ubb34\uc9c4\uacfc \ud568\uaed8 \ub2e4\uc218\uc758 \uc544\uc138\uc548 \ud68c\uc6d0\uad6d\uc744 \uc9c1\uc811 \ubc29\ubb38\ud574 \ud604\uc9c0 \uad50\ud1b5 \uc778\ud504\ub77c\ub97c \uc810\uac80\ud558\uace0, \uac01\uad6d \uc815\ubd80 \uad00\uacc4\uc790\ub4e4\uacfc\uc758 \uae34\ubc00\ud55c \uc18c\ud1b5\uc744 \ud1b5\ud574 \uad6d\uac00 \uac04 \uc774\ud574\uad00\uacc4\ub97c \uc870\uc815\ud558\ub294 \ub4f1 \uc2e4\uc9c8\uc801\uc778 \ud30c\ud2b8\ub108\uc2ed \uad6c\ucd95\uc5d0 \uc55e\uc7a5\uc11c \uc654\uc2b5\ub2c8\ub2e4.</p><blockquote>\uae40\uc778\ud76c \ub300\ud45c\uc774\uc0ac\ub294 \\"2026\ub144\uc5d0\ub3c4 \uc544\uc138\uc548 \uad6d\uac00\ub4e4\uc758 \uad50\ud1b5 \uc778\ud504\ub77c \ubc0f \uae30\uc220 \uace0\ub3c4\ud654\ub97c \uc704\ud55c \uc120\ub3c4\uc801\uc778 \uc5ed\ud560\uc744 \uc774\uc5b4\uac08 \uc608\uc815\\"\uc774\ub77c\uba70, \\"\uc55e\uc73c\ub85c\ub3c4 \ud55c\uad6d\uc758 \uc120\uc9c4 \uad50\ud1b5 \uae30\uc220\uc774 \uc544\uc138\uc548 \uc9c0\uc5ed\uc5d0 \uc131\uacf5\uc801\uc73c\ub85c \ubfcc\ub9ac\ub0b4\ub9b4 \uc218 \uc788\ub3c4\ub85d \uc5f0\uad6c\uc640 \ud611\ub825\uc5d0 \ub9e4\uc9c4\ud558\uaca0\ub2e4\\"\uace0 \ubc1d\ud614\uc2b5\ub2c8\ub2e4.</blockquote><p>
2\uc774\ubc88 \uc218\uc0c1\uc740 (\uc8fc)\ub3c4\ucc29\uc758 \uad6d\uc81c \ud611\ub825 \uc5ed\ub7c9\uacfc \uad50\ud1b5 \uae30\uc220\uc758 \uae00\ub85c\ubc8c \ud655\uc0b0\uc5d0 \ub300\ud55c \uae30\uc5ec\ub97c \uc778\uc815\ubc1b\uc740 \uac83\uc73c\ub85c, \uc55e\uc73c\ub85c\ub3c4 (\uc8fc)\ub3c4\ucc29\uc774 \uc544\uc138\uc548 \uc9c0\uc5ed\uc744 \ud3ec\ud568\ud55c \uae00\ub85c\ubc8c \ubaa8\ube4c\ub9ac\ud2f0 \uc2dc\uc7a5\uc5d0\uc11c \uc120\ub3c4\uc801\uc778 \uc5ed\ud560\uc744 \uc218\ud589\ud560 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.</p>"},"trafficTwinV2":{"title":"LLM \uae30\ubc18 \ubbf8\uc2dc\uad50\ud1b5\ubd84\uc11d\ub3c4\uad6c V2.0 \ucd9c\uc2dc - TrafficTwin","date":"2026\ub144 1\uc6d4 13\uc77c","category":"\ube44\uc988\ub2c8\uc2a4","author":"\ub3c4\ucc29\ud300","readTime":"5\ubd84 \uc77d\uae30","contentIntro":"<p>\ud601\uc2e0\uc801\uc778 <strong>LLM \uae30\ubc18 \ubbf8\uc2dc\uad50\ud1b5\ubd84\uc11d\ub3c4\uad6c V2.0 - TrafficTwin</strong>\uc758 \ucd9c\uc2dc\ub97c \ubc1c\ud45c\ud558\uac8c \ub418\uc5b4 \uae30\uc069\ub2c8\ub2e4. \uc774\ub294 AI \uae30\ubc18 \ubaa8\ube4c\ub9ac\ud2f0 \ucee4\ub9e8\ub4dc \uc13c\ud130\ub85c, \uc2e4\uc2dc\uac04 \uad50\ud1b5 \ub370\uc774\ud130\ub97c AI \uae30\ubc18 \uc6b4\uc601 \ucee4\ub9e8\ub4dc \uc13c\ud130\ub85c \ubcc0\ud658\ud558\ub294 \ud50c\ub7ab\ud3fc\uc785\ub2c8\ub2e4.</p>","contentMain":"<h2>Intelligent Mobility \xd7 AI Digital Twin</h2><p><strong>TrafficTwin</strong>\uc740 \uc2e4\uc2dc\uac04 \ub3c4\ub85c \ub124\ud2b8\uc6cc\ud06c, AI \uc608\uce21, \uace0\uc131\ub2a5 \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uacb0\ud569\ud558\uc5ec \ubcf5\uc7a1\ud55c \uad50\ud1b5 \ubaa8\ub378\uc744 \uc2e4\ud589 \uac00\ub2a5\ud55c \uc804\ub7b5\uc73c\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub354 \ube60\ub978 \uacc4\ud68d \uc218\ub9bd\uacfc \uc6b4\uc601\uc774 \uac00\ub2a5\ud569\ub2c8\ub2e4.</p><h2>\uc8fc\uc694 \uae30\ub2a5</h2><h3>AI Strategy Builder</h3><p>\uc0dd\uc131\ud615 \ud50c\ub808\uc774\ubd81\uc744 \ud1b5\ud574 \ud3d0\uc1c4, \uc18d\ub3c4 \uc815\ucc45, \uacbd\ub85c \uc548\ub0b4 \uc2dc\ub098\ub9ac\uc624\ub97c \uba87 \ucd08 \ub9cc\uc5d0 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.</p><h3>Multi-Agent Scenario Studio</h3><p>\ub2e4\uc591\ud55c \uc5d0\uc774\uc804\ud2b8 \uae30\ubc18 \uc2dc\ub098\ub9ac\uc624\ub97c \uc2dc\ubbac\ub808\uc774\uc158\ud558\uace0 \ubd84\uc11d\ud560 \uc218 \uc788\ub294 \uac15\ub825\ud55c \uc2a4\ud29c\ub514\uc624 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.</p><h3>Real-time Feedback</h3><p>\ud074\ub77c\uc6b0\ub4dc SUMO \uc2dc\ubbac\ub808\uc774\uc158 \ud074\ub7ec\uc2a4\ud130\uc640 \uc2e4\uc2dc\uac04 Mapbox \uc18d\ub3c4 \uc778\ud154\ub9ac\uc804\uc2a4\ub97c \ud1b5\ud574 \ubcc0\ud654\ud558\ub294 \uc870\uac74\uc744 \ucd94\uc801\ud569\ub2c8\ub2e4.</p><ul><li><strong>Live Speeds</strong> - \uc2e4\uc2dc\uac04 \uc18d\ub3c4 \ubaa8\ub2c8\ud130\ub9c1</li><li><strong>Adaptive KPI</strong> - \uc801\uc751\ud615 \ud575\uc2ec \uc131\uacfc \uc9c0\ud45c</li><li><strong>City Twin Status</strong> - \ub3c4\uc2dc \ud2b8\uc708 \uc0c1\ud0dc</li></ul><h2>\uc131\ub2a5 \uc9c0\ud45c</h2><p>TrafficTwin V2.0\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc131\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4:</p><ul><li><strong>Network Flow 87%</strong> - \ub124\ud2b8\uc6cc\ud06c \ud750\ub984 \ud6a8\uc728\uc131</li><li><strong>AI Confidence 0.94</strong> - \ub192\uc740 AI \uc2e0\ub8b0\ub3c4</li><li><strong>40% Faster congestion recovery</strong> - 40% \ube60\ub978 \ud63c\uc7a1 \ud68c\ubcf5</li><li><strong>12+ Interactive performance KPIs</strong> - 12\uac1c \uc774\uc0c1\uc758 \ub300\ud654\ud615 \uc131\ub2a5 \uc9c0\ud45c</li><li><strong>3D Citywide situational twins</strong> - 3D \ub3c4\uc2dc \uc804\uccb4 \uc0c1\ud669 \ud2b8\uc708</li></ul><blockquote>TrafficTwin\uc740 \uc2a4\ub9c8\ud2b8\ud55c \ub3c4\uc2dc\ub97c \uc704\ud55c AI \uae30\ubc18 \ubaa8\ube4c\ub9ac\ud2f0 \ud2b8\uc708\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc2dc\ubbac\ub808\uc774\uc158, \ucd5c\uc801\ud654, \uadf8\ub9ac\uace0 \uc131\uc7a5\uc744 \ud1b5\ud574 \ub3c4\uc2dc\uc758 \ubbf8\ub798\ub97c \ub9cc\ub4e4\uc5b4\uac11\ub2c8\ub2e4.</blockquote><p>V2.0\uc740 V1.0\uc758 \uc131\uacf5\uc744 \uae30\ubc18\uc73c\ub85c \ub354\uc6b1 \uac15\ub825\ud55c AI \uae30\ub2a5\uacfc \uc2e4\uc2dc\uac04 \ubd84\uc11d \ub2a5\ub825\uc744 \uc81c\uacf5\ud558\uc5ec \ub3c4\uc2dc \uad50\ud1b5 \uad00\ub9ac\uc758 \uc0c8\ub85c\uc6b4 \ud45c\uc900\uc744 \uc81c\uc2dc\ud569\ub2c8\ub2e4.</p>","ctaButton":"TrafficTwin \uc11c\ube44\uc2a4 \ubc29\ubb38\ud558\uae30"},"aimoTwinAnalyticsV01":{"title":"AiMoTwin Analytics V-0.1 \uac1c\ubc1c \ubc1c\ud45c","date":"2026\ub144 3\u
2c6d4 9\uc77c","category":"\uae30\uc220","author":"\ub3c4\ucc29\ud300","readTime":"4\ubd84 \uc77d\uae30","contentIntro":"<p>\ub3c4\uc2dc \ubaa8\ube4c\ub9ac\ud2f0 \ucd5c\uc801\ud654\ub97c \uc704\ud55c AI \uae30\ubc18 \uad50\ud1b5 \ubd84\uc11d \ubc0f \uc2dc\ubbac\ub808\uc774\uc158 \uc194\ub8e8\uc158, <strong>AiMoTwin Analytics V-0.1</strong>\uc758 \uac1c\ubc1c\uc744 \ubc1c\ud45c\ud558\uac8c \ub418\uc5b4 \uae30\uc069\ub2c8\ub2e4. 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\ub2e4\uc591\ud55c \uc2dc\ub098\ub9ac\uc624 \uac04 \ube44\uad50\ub97c \uac00\ub2a5\ud558\uac8c \ud569\ub2c8\ub2e4.</li></ul><h2>\ud575\uc2ec \uc774\uc810</h2><ul><li><strong>\ud6a8\uc728\uc131</strong> \u2014 \uc218 \uc8fc\uc5d0 \uac78\uce5c \uc218\ub3d9 \uc791\uc5c5\uc744 \uba87 \ubd84 \ub9cc\uc758 \uc790\ub3d9\ud654\ub41c \uc5c5\ub370\uc774\ud2b8\ub85c \uc904\uc5ec\uc90d\ub2c8\ub2e4.</li><li><strong>\ubcf4\uc548</strong> \u2014 \ubbfc\uac10\ud55c \ub3c4\uc2dc \ub370\uc774\ud130\ub97c \ubcf4\ud638\ud558\uae30 \uc704\ud574 100% \uc548\uc804\ud55c \uc628-\ud504\ub808\ubbf8\uc2a4 \uc6b4\uc601\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.</li><li><strong>\ucd5c\uc801\ud654</strong> \u2014 \ub354 \ub098\uc740 \ubaa8\ube4c\ub9ac\ud2f0\ub97c \uc704\ud574 \uc2dc\uc2a4\ud15c\uc744 \ucd5c\uc801\ud654\ud558\uc5ec \ub3c4\uc2dc \uacc4\ud68d\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4.</li></ul><blockquote>AiMoTwin Analytics V-0.1\uc740 AI \uae30\ubc18 \ub3c4\uc2dc \ubaa8\ube4c\ub9ac\ud2f0 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2case"CONVERSION":t.type="Conversion",t.name=e[1],t.method=e.find(e=>Array.isArray(e)&&"METHOD"===e[0])?this.convert(e.find(e=>Array.isArray(e)&&"METHOD"===e[0])):null,t.parameters=e.filter(e=>Array.isArray(e)&&"PARAMETER"===e[0]).map(e=>this.convert(e));break;case"METHOD":t.type="Method",t.name=e[1],t.id=this.getId(e);break;case"PARAMETER":t.type="Parameter",t.name=e[1],t.value=parseFloat(e[2]),t.unit=this.convertUnit(e.find(e=>Array.isArray(e)&&("LENGTHUNIT"===e[0]||"ANGLEUNIT"===e[0]||"SCALEUNIT"===e[0]))),t.id=this.getId(e);break;case"BOUNDCRS":t.type="BoundCRS";const s=e.find(e=>Array.isArray(e)&&"SOURCECRS"===e[0]);if(s){const e=s.find(e=>Array.isArray(e));t.source_crs=e?this.convert(e):null}const l=e.find(e=>Array.isArray(e)&&"TARGETCRS"===e[0]);if(l){const e=l.find(e=>Array.isArray(e));t.target_crs=e?this.convert(e):null}const c=e.find(e=>Array.isArray(e)&&"ABRIDGEDTRANSFORMATION"===e[0]);t.transformation=c?this.convert(c):null;break;case"ABRIDGEDTRANSFORMATION":if(t.type="Transformation",t.name=e[1],t.method=e.find(e=>Array.isArray(e)&&"METHOD"===e[0])?this.convert(e.find(e=>Array.isArray(e)&&"METHOD"===e[0])):null,t.parameters=e.filter(e=>Array.isArray(e)&&("PARAMETER"===e[0]||"PARAMETERFILE"===e[0])).map(e=>"PARAMETER"===e[0]?this.convert(e):"PARAMETERFILE"===e[0]?{name:e[1],value:e[2],id:{authority:"EPSG",code:8656}}:void 0),7===t.parameters.length){const e=t.parameters[6];"Scale difference"===e.name&&(e.value=Math.round(1e12*(e.value-1))/1e6)}t.id=this.getId(e);break;case"AXIS":t.coordinate_system||(t.coordinate_system={type:"unspecified",axis:[]}),t.coordinate_system.axis.push(this.convertAxis(e));break;case"LENGTHUNIT":const u=this.convertUnit(e,"LinearUnit");t.coordinate_system&&t.coordinate_system.axis&&t.coordinate_system.axis.forEach(e=>{e.unit||(e.unit=u)}),u.conversion_factor&&1!==u.conversion_factor&&t.semi_major_axis&&(t.semi_major_axis={value:t.semi_major_axis,unit:u});break;default:t.keyword=e[0]}return t}};const w=class extends b{static convert(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return super.convert(e,t),t.coordinate_system&&"Cartesian"===t.coordinate_system.subtype&&delete t.coordinate_system,t.usage&&delete t.usage,t}};const S=class extends b{static convert(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};super.convert(e,t);const n=e.find(e=>Array.isArray(e)&&"CS"===e[0]);n&&(t.coordinate_system={subtype:n[1],axis:this.extractAxes(e)});const a=e.find(e=>Array.isArray(e)&&"USAGE"===e[0]);if(a){const e=a.find(e=>Array.isArray(e)&&"SCOPE"===e[0]),n=a.find(e=>Array.isArray(e)&&"AREA"===e[0]),i=a.find(e=>Array.isArray(e)&&"BBOX"===e[0]);t.usage={},e&&(t.usage.scope=e[1]),n&&(t.usage.area=n[1]),i&&(t.usage.bbox=i.slice(1))}return t}};function M(e){const t=function(e){return e.find(e=>Array.isArray(e)&&"USAGE"===e[0])?"2019":(e.find(e=>Array.isArray(e)&&"CS"===e[0])||"BOUNDCRS"===e[0]||"PROJCRS"===e[0]||e[0],"2015")}(e);return("2019"===t?S:w).convert(e)}const _=function(e){var t=new C(e);return t.output()};var x=1,P=/\s/,k=/[A-Za-z]/,E=/[A-Za-z84_]/,T=/[,\]]/,A=/[\d\.E\-\+]/;function C(e){if("string"!==typeof e)throw new Error("not a string");this.text=e.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=x}function N(e,t,n){Array.isArray(t)&&(n.unshift(t),t=null);var a=t?{}:e,i=n.reduce(function(e,t){return I(t,e),e},a);t&&(e[t]=i)}function I(e,t){if(Array.isArray(e)){var n=e.shift();if("PARAMETER"===n&&(n=e.shift()),1===e.length)return Array.isArray(e[0])?(t[n]={},void I(e[0],t[n])):void(t[n]=e[0]);if(e.length)if("TOWGS84"!==n){if("AXIS"===n)return n in t||(t[n]=[]),void t[n].push(e);var a;switch(Array.isArray(n)||(t[n]={}),n){case"UNIT":case"PRIMEM":case"VERT_DATUM":return t[n]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&I(e[2],t[n]));case"SPHEROID":case"ELLIPSOID":return t[n]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&I(e[3],t[n]));case"EDATUM":case"ENGINEERINGDATUM":case"LOCAL_DATUM":case"DATUM":case"VERT_CS":case"VERTCRS":case"VERTICALCRS":return e[0]=["name",e[0]],void N(t,n,e);
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Ye(e){return e/Math.PI*180}function Je(e){var t=e.northing,n=e.easting,a=e.zoneLetter,i=e.zoneNumber;if(i<0||i>60)return null;var r,o,s,l,c,u,d,h,p,f=.9996,m=6378137,g=.00669438,y=(1-Math.sqrt(.99330562))/(1+Math.sqrt(.99330562)),v=n-5e5,b=t;a<"N"&&(b-=1e7),d=6*(i-1)-180+3,r=.006739496752268451,p=(h=b/f/6367449.145945056)+(3*y/2-27*y*y*y/32)*Math.sin(2*h)+(21*y*y/16-55*y*y*y*y/32)*Math.sin(4*h)+151*y*y*y/96*Math.sin(6*h),o=m/Math.sqrt(1-g*Math.sin(p)*Math.sin(p)),s=Math.tan(p)*Math.tan(p),l=r*Math.cos(p)*Math.cos(p),c=.99330562*m/Math.pow(1-g*Math.sin(p)*Math.sin(p),1.5),u=v/(o*f);var w=p-o*Math.tan(p)/c*(u*u/2-(5+3*s+10*l-4*l*l-9*r)*u*u*u*u/24+(61+90*s+298*l+45*s*s-1.6983531815716497-3*l*l)*u*u*u*u*u*u/720);w=Ye(w);var S,M=(u-(1+2*s+l)*u*u*u/6+(5-2*l+28*s-3*l*l+8*r+24*s*s)*u*u*u*u*u/120)/Math.cos(p);if(M=d+Ye(M),e.accuracy){var 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s=e.charAt(r++);if(s<="A"||"B"===s||"Y"===s||s>="Z"||"I"===s||"O"===s)throw"MGRSPoint zone letter "+s+" not handled: "+e;a=e.substring(r,r+=2);for(var l=Ze(o),c=function(e,t){var n=Fe.charCodeAt(t-1),a=1e5,i=!1;for(;n!==e.charCodeAt(0);){if(++n===Ue&&n++,n===Be&&n++,n>qe){if(i)throw"Bad character: "+e;n=Ve,i=!0}a+=1e5}return a}(a.charAt(0),l),u=function(e,t){if(e>"V")throw"MGRSPoint given invalid Northing "+e;var n=ze.charCodeAt(t-1),a=0,i=!1;for(;n!==e.charCodeAt(0);){if(++n===Ue&&n++,n===Be&&n++,n>Ke){if(i)throw"Bad character: "+e;n=Ve,i=!0}a+=1e5}return a}(a.charAt(1),l);u<tt(s);)u+=2e6;var d=n-r;if(d%2!==0)throw"MGRSPoint has to have an even number \nof digits after the zone letter and two 100km letters - front \nhalf for easting meters, second half for \nnorthing meters"+e;var h,p,f,m=d/2,g=0,y=0;return m>0&&(h=1e5/Math.pow(10,m),p=e.substring(r,r+m),g=parseFloat(p)*h,f=e.substring(r+m),y=parseFloat(f)*h),{easting:g+c,northing:y+u,zoneLetter:s,zoneNumber:o,accuracy:h}}function tt(e){var t;switch(e){case"C":t=11e5;break;case"D":t=2e6;break;case"E":t=28e5;break;case"F":t=37e5;break;case"G":t=46e5;break;case"H":t=55e5;break;case"J":t=64e5;break;case"K":t=73e5;break;case"L":t=82e5;break;case"M":t=91e5;break;case"N":t=0;break;case"P":t=8e5;break;case"Q":t=17e5;break;case"R":t=26e5;break;case"S":t=35e5;break;case"T":t=44e5;break;case"U":t=53e5;break;case"V":t=62e5;break;case"W":t=7e6;break;case"X":t=79e5;break;default:t=-1}if(t>=0)return t;throw"Invalid zone letter: "+e}function nt(e,t,n){if(!(this instanceof nt))return new nt(e,t,n);if(Array.isArray(e))this.x=e[0],this.y=e[1],this.z=e[2]||0;else if("object"===typeof e)this.x=e.x,this.y=e.y,this.z=e.z||0;else if("string"===typeof e&&"undefined"===typeof t){var a=e.split(",");this.x=parseFloat(a[0]),this.y=parseFloat(a[1]),this.z=parseFloat(a[2])||0}else this.x=e,this.y=t,this.z=n||0;console.warn("proj4.Point will be removed in version 3, use proj4.toPoint")}nt.fromMGRS=function(e){return new nt($e(e))},nt.prototype.toMGRS=function(e){return We([this.x,this.y],e)};const at=nt;var it=.046875,rt=.01953125,ot=.01068115234375;function st(e){var t=[];t[0]=1-e*(.25+e*(it+e*(rt+e*ot))),t[1]=e*(.75-e*(it+e*(rt+e*ot)));var n=e*e;return t[2]=n*(.46875-e*(.013020833333333334+.007120768229166667*e)),n*=e,t[3]=n*(.3645833333333333-.005696614583333333*e),t[4]=n*e*.3076171875,t}function lt(e,t,n,a){return n*=t,t*=t,a[0]*e-n*(a[1]+t*(a[2]+t*(a[3]+t*a[4])))}function ct(e,t,n){for(var a=1/(1-t),i=e,r=20;r;--r){var o=Math.sin(i),l=1-t*o*o;if(i-=l=(lt(i,o,Math.cos(i),n)-e)*(l*Math.sqrt(l))*a,Math.abs(l)<s)return i}return i}const ut={init:function(){this.x0=void 0!==this.x0?this.x0:0,this.y0=void 0!==this.y0?this.y0:0,this.long0=void 0!==this.long0?this.long0:0,this.lat0=void 0!==this.lat0?this.lat0:0,this.es&&(this.en=st(this.es),this.ml0=lt(this.lat0,Math.sin(this.lat0),Math.cos(this.lat0),this.en))},forward:function(e){var t,n,a,i=e.x,r=e.y,o=Y(i-this.long0),l=Math.sin(r),c=Math.cos(r);if(this.es){var u=c*o,d=Math.pow(u,2),h=this.ep2*Math.pow(c,2),p=Math.pow(h,2),f=Math.abs(c)>s?Math.tan(r):0,m=Math.pow(f,2),g=Math.pow(m,2);t=1-this.es*Math.pow(l,2),u/=Math.sqrt(t);var y=lt(r,l,c,this.en);n=this.a*(this.k0*u*(1+d/6*(1-m+h+d/20*(5-18*m+g+14*h-58*m*h+d/42*(61+179*g-g*m-479*m)))))+this.x0,a=this.a*(this.k0*(y-this.ml0+l*o*u/2*(1+d/12*(5-m+9*h+4*p+d/30*(61+g-58*m+270*h-330*m*h+d/56*(1385+543*g-g*m-3111*m))))))+this.y0}else{var v=c*Math.sin(o);if(Math.abs(Math.abs(v)-1)<s)return 93;if(n=.5*this.a*this.k0*Math.log((1+v)/(1-v))+this.x0,a=c*Math.cos(o)/Math.sqrt(1-Math.pow(v,2)),(v=Math.abs(a)
vendor: 5,169 bytes, line 2
2)>=1){if(v-1>s)return 93;a=0}else a=Math.acos(a);r<0&&(a=-a),a=this.a*this.k0*(a-this.lat0)+this.y0}return e.x=n,e.y=a,e},inverse:function(e){var t,n,a,i,r=(e.x-this.x0)*(1/this.a),l=(e.y-this.y0)*(1/this.a);if(this.es)if(n=ct(t=this.ml0+l/this.k0,this.es,this.en),Math.abs(n)<o){var c=Math.sin(n),u=Math.cos(n),d=Math.abs(u)>s?Math.tan(n):0,h=this.ep2*Math.pow(u,2),p=Math.pow(h,2),f=Math.pow(d,2),m=Math.pow(f,2);t=1-this.es*Math.pow(c,2);var g=r*Math.sqrt(t)/this.k0,y=Math.pow(g,2);a=n-(t*=d)*y/(1-this.es)*.5*(1-y/12*(5+3*f-9*h*f+h-4*p-y/30*(61+90*f-252*h*f+45*m+46*h-y/56*(1385+3633*f+4095*m+1574*m*f)))),i=Y(this.long0+g*(1-y/6*(1+2*f+h-y/20*(5+28*f+24*m+8*h*f+6*h-y/42*(61+662*f+1320*m+720*m*f))))/u)}else a=o*Q(l),i=0;else{var v=Math.exp(r/this.k0),b=.5*(v-1/v),w=this.lat0+l/this.k0,S=Math.cos(w);t=Math.sqrt((1-Math.pow(S,2))/(1+Math.pow(b,2))),a=Math.asin(t),l<0&&(a=-a),i=0===b&&0===S?0:Y(Math.atan2(b,S)+this.long0)}return e.x=i,e.y=a,e},names:["Fast_Transverse_Mercator","Fast Transverse Mercator"]};function dt(e){var t=Math.exp(e);return t=(t-1/t)/2}function ht(e,t){e=Math.abs(e),t=Math.abs(t);var n=Math.max(e,t),a=Math.min(e,t)/(n||1);return n*Math.sqrt(1+Math.pow(a,2))}function pt(e){var t=Math.abs(e);return t=function(e){var t=1+e,n=t-1;return 0===n?e:e*Math.log(t)/n}(t*(1+t/(ht(1,t)+1))),e<0?-t:t}function ft(e,t){for(var n,a=2*Math.cos(2*t),i=e.length-1,r=e[i],o=0;--i>=0;)n=a*r-o+e[i],o=r,r=n;return t+n*Math.sin(2*t)}function mt(e,t,n){for(var a,i,r=Math.sin(t),o=Math.cos(t),s=dt(n),l=function(e){var t=Math.exp(e);return(t+1/t)/2}(n),c=2*o*l,u=-2*r*s,d=e.length-1,h=e[d],p=0,f=0,m=0;--d>=0;)a=f,i=p,h=c*(f=h)-a-u*(p=m)+e[d],m=u*f-i+c*p;return[(c=r*l)*h-(u=o*s)*m,c*m+u*h]}const gt={init:function(){if(!this.approx&&(isNaN(this.es)||this.es<=0))throw new Error('Incorrect elliptical usage. Try using the +approx option in the proj string, or PROJECTION["Fast_Transverse_Mercator"] in the WKT.');this.approx&&(ut.init.apply(this),this.forward=ut.forward,this.inverse=ut.inverse),this.x0=void 0!==this.x0?this.x0:0,this.y0=void 0!==this.y0?this.y0:0,this.long0=void 0!==this.long0?this.long0:0,this.lat0=void 0!==this.lat0?this.lat0:0,this.cgb=[],this.cbg=[],this.utg=[],this.gtu=[];var e=this.es/(1+Math.sqrt(1-this.es)),t=e/(2-e),n=t;this.cgb[0]=t*(2+t*(-2/3+t*(t*(116/45+t*(26/45+t*(-2854/675)))-2))),this.cbg[0]=t*(t*(2/3+t*(4/3+t*(-82/45+t*(32/45+t*(4642/4725)))))-2),n*=t,this.cgb[1]=n*(7/3+t*(t*(-227/45+t*(2704/315+t*(2323/945)))-1.6)),this.cbg[1]=n*(5/3+t*(-16/15+t*(-13/9+t*(904/315+t*(-1522/945))))),n*=t,this.cgb[2]=n*(56/15+t*(-136/35+t*(-1262/105+t*(73814/2835)))),this.cbg[2]=n*(-26/15+t*(34/21+t*(1.6+t*(-12686/2835)))),n*=t,this.cgb[3]=n*(4279/630+t*(-332/35+t*(-399572/14175))),this.cbg[3]=n*(1237/630+t*(t*(-24832/14175)-2.4)),n*=t,this.cgb[4]=n*(4174/315+t*(-144838/6237)),this.cbg[4]=n*(-734/315+t*(109598/31185)),n*=t,this.cgb[5]=n*(601676/22275),this.cbg[5]=n*(444337/155925),n=Math.pow(t,2),this.Qn=this.k0/(1+t)*(1+n*(1/4+n*(1/64+n/256))),this.utg[0]=t*(t*(2/3+t*(-37/96+t*(1/360+t*(81/512+t*(-96199/604800)))))-.5),this.gtu[0]=t*(.5+t*(-2/3+t*(5/16+t*(41/180+t*(-127/288+t*(7891/37800)))))),this.utg[1]=n*(-1/48+t*(-1/15+t*(437/1440+t*(-46/105+t*(1118711/3870720))))),this.gtu[1]=n*(13/48+t*(t*(557/1440+t*(281/630+t*(-1983433/1935360)))-.6)),n*=t,this.utg[2]=n*(-17/480+t*(37/840+t*(209/4480+t*(-5569/90720)))),this.gtu[2]=n*(61/240+t*(-103/140+t*(15061/26880+t*(167603/181440)))),n*=t,this.utg[3]=n*(-4397/161280+t*(11/504+t*(830251/7257600))),this.gtu[3]=n*(49561/161280+t*(-179/168+t*(6601661/7257600))),n*=t,this.utg[4]=n*(-4583/161280+t*(108847/3991680)),this.gtu[4]=n*(34729/80640+t*(-3418889/1995840)),n*=t,this.utg[5]=n*(-20648693/638668800),this.gtu[5]=.6650675310896665*n;var a=ft(this.cbg,this.lat0);this.Zb=-this.Qn*(a+function(e,t){for(var n,a=2*Math.cos(t),i=e.length-1,r=e[i],o=0;--i>=0;)n=a*r-o+e[i],o=r,r=n;return Math.sin(t)*n}(this.gtu,2*a))},forward:function(e){var t=Y(e.x-this.long0),n=e.y;n=ft(this.cbg,n);var a=Math.sin(n),i=Math.cos(n),r=Math.sin(t),o=Math.cos(t);n=Math.atan2(a,o*i),t=Math.atan2(r*i,ht(a,i*o)),t=pt(Math.tan(t));var s,l,c=mt(this.gtu,2*n,2*t);return n+=c[0],t+=c[1],Math.abs(t)<=2.623395162778?(s=this.a*(this.Qn*t)+this.x0,l=this.a*(this.Qn*n+this.Zb)+this.y0):(s=1/0,l=1/0),e.x=s,e.y=l,e},inverse:function(e){var t,n,a=(e.x-this.x0)*(1/this.a),i=(e.y-this.y0)*(1/this.a);if(i=(i-this.Zb)/this.Qn,a/=this.Qn,Math.abs(a)<=2.623395162778){var r=mt(this.utg,2*i,2*a);i+=r[0],a+=r[1],a=Math.atan(dt(a));var o=Math.sin(i),s=Math.cos(i),l=Math.sin(a),c=Math.cos(a);i=Math.atan2(o*c,ht(l,c*s)),t=Y((a=Math.atan2(l,c*s))+this.long0),n=ft(this.cgb,i)}else t=1/0,n=1/0;return e.x=t,e.y=n,e},names:["Extended_Transverse_Mercator","Extended Transverse Mercator","etmerc","Transverse_Mercator","Transverse Mercator","Gauss Kruger","Gauss_Kruger","tmerc"]};const yt={init:function(){var e=function(e,t){if(void 0===e){if((e=Math.floor(30*(Y(t)+Math.PI)/Math.PI)+1)<0)return 0;if(e>60)return 60}return e}(this.zone,this.long0);if(void 0===e)throw new Error("unknown utm zone");this.lat0=0,this.long0=(6*Math.abs(e)-183)*l,this.x0=5e5,this.y0=this.utmSouth?1e7:0,this.k0=.9996,gt.init.a
vendor: 15,911 bytes, line 2
2pply(this),this.forward=gt.forward,this.inverse=gt.inverse},names:["Universal Transverse Mercator System","utm"],dependsOn:"etmerc"};function vt(e,t){return Math.pow((1-e)/(1+e),t)}const bt={init:function(){var e=Math.sin(this.lat0),t=Math.cos(this.lat0);t*=t,this.rc=Math.sqrt(1-this.es)/(1-this.es*e*e),this.C=Math.sqrt(1+this.es*t*t/(1-this.es)),this.phic0=Math.asin(e/this.C),this.ratexp=.5*this.C*this.e,this.K=Math.tan(.5*this.phic0+u)/(Math.pow(Math.tan(.5*this.lat0+u),this.C)*vt(this.e*e,this.ratexp))},forward:function(e){var t=e.x,n=e.y;return e.y=2*Math.atan(this.K*Math.pow(Math.tan(.5*n+u),this.C)*vt(this.e*Math.sin(n),this.ratexp))-o,e.x=this.C*t,e},inverse:function(e){for(var t=e.x/this.C,n=e.y,a=Math.pow(Math.tan(.5*n+u)/this.K,1/this.C),i=20;i>0&&(n=2*Math.atan(a*vt(this.e*Math.sin(e.y),-.5*this.e))-o,!(Math.abs(n-e.y)<1e-14));--i)e.y=n;return i?(e.x=t,e.y=n,e):null},names:["gauss"]};const wt={init:function(){bt.init.apply(this),this.rc&&(this.sinc0=Math.sin(this.phic0),this.cosc0=Math.cos(this.phic0),this.R2=2*this.rc,this.title||(this.title="Oblique Stereographic Alternative"))},forward:function(e){var t,n,a,i;return e.x=Y(e.x-this.long0),bt.forward.apply(this,[e]),t=Math.sin(e.y),n=Math.cos(e.y),a=Math.cos(e.x),i=this.k0*this.R2/(1+this.sinc0*t+this.cosc0*n*a),e.x=i*n*Math.sin(e.x),e.y=i*(this.cosc0*t-this.sinc0*n*a),e.x=this.a*e.x+this.x0,e.y=this.a*e.y+this.y0,e},inverse:function(e){var t,n,a,i,r;if(e.x=(e.x-this.x0)/this.a,e.y=(e.y-this.y0)/this.a,e.x/=this.k0,e.y/=this.k0,r=ht(e.x,e.y)){var o=2*Math.atan2(r,this.R2);t=Math.sin(o),n=Math.cos(o),i=Math.asin(n*this.sinc0+e.y*t*this.cosc0/r),a=Math.atan2(e.x*t,r*this.cosc0*n-e.y*this.sinc0*t)}else i=this.phic0,a=0;return e.x=a,e.y=i,bt.inverse.apply(this,[e]),e.x=Y(e.x+this.long0),e},names:["Stereographic_North_Pole","Oblique_Stereographic","sterea","Oblique Stereographic Alternative","Double_Stereographic"]};function St(e,t,n){return t*=n,Math.tan(.5*(o+e))*Math.pow((1-t)/(1+t),.5*n)}const Mt={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.lat0=this.lat0||0,this.long0=this.long0||0,this.coslat0=Math.cos(this.lat0),this.sinlat0=Math.sin(this.lat0),this.sphere?1===this.k0&&!isNaN(this.lat_ts)&&Math.abs(this.coslat0)<=s&&(this.k0=.5*(1+Q(this.lat0)*Math.sin(this.lat_ts))):(Math.abs(this.coslat0)<=s&&(this.lat0>0?this.con=1:this.con=-1),this.cons=Math.sqrt(Math.pow(1+this.e,1+this.e)*Math.pow(1-this.e,1-this.e)),1===this.k0&&!isNaN(this.lat_ts)&&Math.abs(this.coslat0)<=s&&Math.abs(Math.cos(this.lat_ts))>s&&(this.k0=.5*this.cons*$(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts))/J(this.e,this.con*this.lat_ts,this.con*Math.sin(this.lat_ts))),this.ms1=$(this.e,this.sinlat0,this.coslat0),this.X0=2*Math.atan(St(this.lat0,this.sinlat0,this.e))-o,this.cosX0=Math.cos(this.X0),this.sinX0=Math.sin(this.X0))},forward:function(e){var t,n,a,i,r,l,c=e.x,u=e.y,d=Math.sin(u),h=Math.cos(u),p=Y(c-this.long0);return Math.abs(Math.abs(c-this.long0)-Math.PI)<=s&&Math.abs(u+this.lat0)<=s?(e.x=NaN,e.y=NaN,e):this.sphere?(t=2*this.k0/(1+this.sinlat0*d+this.coslat0*h*Math.cos(p)),e.x=this.a*t*h*Math.sin(p)+this.x0,e.y=this.a*t*(this.coslat0*d-this.sinlat0*h*Math.cos(p))+this.y0,e):(n=2*Math.atan(St(u,d,this.e))-o,i=Math.cos(n),a=Math.sin(n),Math.abs(this.coslat0)<=s?(r=J(this.e,u*this.con,this.con*d),l=2*this.a*this.k0*r/this.cons,e.x=this.x0+l*Math.sin(c-this.long0),e.y=this.y0-this.con*l*Math.cos(c-this.long0),e):(Math.abs(this.sinlat0)<s?(t=2*this.a*this.k0/(1+i*Math.cos(p)),e.y=t*a):(t=2*this.a*this.k0*this.ms1/(this.cosX0*(1+this.sinX0*a+this.cosX0*i*Math.cos(p))),e.y=t*(this.cosX0*a-this.sinX0*i*Math.cos(p))+this.y0),e.x=t*i*Math.sin(p)+this.x0,e))},inverse:function(e){var t,n,a,i,r;e.x-=this.x0,e.y-=this.y0;var l=Math.sqrt(e.x*e.x+e.y*e.y);if(this.sphere){var c=2*Math.atan(l/(2*this.a*this.k0));return t=this.long0,n=this.lat0,l<=s?(e.x=t,e.y=n,e):(n=Math.asin(Math.cos(c)*this.sinlat0+e.y*Math.sin(c)*this.coslat0/l),t=Math.abs(this.coslat0)<s?this.lat0>0?Y(this.long0+Math.atan2(e.x,-1*e.y)):Y(this.long0+Math.atan2(e.x,e.y)):Y(this.long0+Math.atan2(e.x*Math.sin(c),l*this.coslat0*Math.cos(c)-e.y*this.sinlat0*Math.sin(c))),e.x=t,e.y=n,e)}if(Math.abs(this.coslat0)<=s){if(l<=s)return n=this.lat0,t=this.long0,e.x=t,e.y=n,e;e.x*=this.con,e.y*=this.con,a=l*this.cons/(2*this.a*this.k0),n=this.con*X(this.e,a),t=this.con*Y(this.con*this.long0+Math.atan2(e.x,-1*e.y))}else i=2*Math.atan(l*this.cosX0/(2*this.a*this.k0*this.ms1)),t=this.long0,l<=s?r=this.X0:(r=Math.asin(Math.cos(i)*this.sinX0+e.y*Math.sin(i)*this.cosX0/l),t=Y(this.long0+Math.atan2(e.x*Math.sin(i),l*this.cosX0*Math.cos(i)-e.y*this.sinX0*Math.sin(i)))),n=-1*X(this.e,Math.tan(.5*(o+r)));return e.x=t,e.y=n,e},names:["stere","Stereographic_South_Pole","Polar_Stereographic_variant_A","Polar_Stereographic_variant_B","Polar_Stereographic"],ssfn_:St};const _t={init:function(){var e=this.lat0;this.lambda0=this.long0;var t=Math.sin(e),n=this.a,a=1/this.rf,i=2*a-Math.pow(a,2),r=this.e=Math.sqrt(i);this.R=this.k0*n*Math.sqrt(1-i)/(1-i*Math.pow(t,2)),this.alpha=Math.sqrt(1+i/(1-i)*Math.pow(Math.cos(e),4)),this.b0=Math.asin(t/this.alpha);var o=Math.log(Math.tan(Math.PI/4+this.b0/2)),s=Math.log(Math.tan(Math.PI/4+e/2)),l=Math.log((1+r*t)/(1-r*t));this.K=o-this.alpha*s+this.alpha*r/2*l},forward:function(e){var t=Math.log(Math.tan(Math.PI/4-e.y/2)),n=this.e/2*Math.log((1+this.e*Math.sin(e.y))/(1-this.e*Math.sin(e.y))),a=-this.alpha*(t+n)+this.K,i=2*(Math.atan(Math.exp(a))-Math.PI/4),r=this.alpha*(e.x-this.lambda0),o=Math.atan(Math.sin(r)/(Math.sin(this.b0)*Math.tan(i)+Math.cos(this.b0)*Math.cos(r))),s=Math.asin(Math.cos(this.b0)*Math.sin(i)-Math.sin(this.b0)*Math.cos(i)*Math.cos(r));return e.y=this.R/2*Math.log((1+Math.sin(s))/(1-Math.sin(s)))+this.y0,e.x=this.R*o+this.x0,e},inverse:function(e){for(var t=e.x-this.x0,n=e.y-this.y0,a=t/this.R,i=2*(Math.atan(Math.exp(n/this.R))-Math.PI/4),r=Math.asin(Math.cos(this.b0)*Math.sin(i)+Math.sin(this.b0)*Math.cos(i)*Math.cos(a)),o=Math.atan(Math.sin(a)/(Math.cos(this.b0)*Math.cos(a)-Math.sin(this.b0)*Math.tan(i))),s=this.lambda0+o/this.alpha,l=0,c=r,u=-1e3,d=0;Math.abs(c-u)>1e-7;){if(++d>20)return;l=1/this.alpha*(Math.log(Math.tan(Math.PI/4+r/2))-this.K)+this.e*Math.log(Math.tan(Math.PI/4+Math.asin(this.e*Math.sin(c))/2)),u=c,c=2*Math.atan(Math.exp(l))-Math.PI/2}return e.x=s,e.y=c,e},names:["somerc"]};var xt=1e-7;const Pt={init:function(){var e,t,n,a,i,r,l,c,h,p,f,m=0,g=0,y=0,v=0,b=0,w=0,S=0;this.no_off=function(e){var t=["Hotine_Oblique_Mercator","Hotine_Oblique_Mercator_variant_A","Hotine_Oblique_Mercator_Azimuth_Natural_Origin"],n="object"===typeof e.projName?Object.keys(e.projName)[0]:e.projName;return"no_uoff"in e||"no_off"in e||-1!==t.indexOf(n)||-1!==t.indexOf(ie(n))}(this),this.no_rot="no_rot"in this;var M=!1;"alpha"in this&&(M=!0);var _=!1;if("rectified_grid_angle"in this&&(_=!0),M&&(S=this.alpha),_&&(m=this.rectified_grid_angle),M||_)g=this.longc;else if(y=this.long1,b=this.lat1,v=this.long2,w=this.lat2,Math.abs(b-w)<=xt||(e=Math.abs(b))<=xt||Math.abs(e-o)<=xt||Math.abs(Math.abs(this.lat0)-o)<=xt||Math.abs(Math.abs(w)-o)<=xt)throw new Error;var x=1-this.es;t=Math.sqrt(x),Math.abs(this.lat0)>s?(c=Math.sin(this.lat0),n=Math.cos(this.lat0),e=1-this.es*c*c,this.B=n*n,this.B=Math.sqrt(1+this.es*this.B*this.B/x),this.A=this.B*this.k0*t/e,(i=(a=this.B*t/(n*Math.sqrt(e)))*a-1)<=0?i=0:(i=Math.sqrt(i),this.lat0<0&&(i=-i)),this.E=i+=a,this.E*=Math.pow(J(this.e,this.lat0,c),this.B)):(this.B=1/t,this.A=this.k0,this.E=a=i=1),M||_?(M?(f=Math.asin(Math.sin(S)/a),_||(m=S)):(f=m,S=Math.asin(a*Math.sin(f))),this.lam0=g-Math.asin(.5*(i-1/i)*Math.tan(f))/this.B):(r=Math.pow(J(this.e,b,Math.sin(b)),this.B),l=Math.pow(J(this.e,w,Math.sin(w)),this.B),i=this.E/r,h=(l-r)/(l+r),p=((p=this.E*this.E)-l*r)/(p+l*r),(e=y-v)<-Math.PI?v-=d:e>Math.PI&&(v+=d),this.lam0=Y(.5*(y+v)-Math.atan(p*Math.tan(.5*this.B*(y-v))/h)/this.B),f=Math.atan(2*Math.sin(this.B*Y(y-this.lam0))/(i-1/i)),m=S=Math.asin(a*Math.sin(f))),this.singam=Math.sin(f),this.cosgam=Math.cos(f),this.sinrot=Math.sin(m),this.cosrot=Math.cos(m),this.rB=1/this.B,this.ArB=this.A*this.rB,this.BrA=1/this.ArB,this.no_off?this.u_0=0:(this.u_0=Math.abs(this.ArB*Math.atan(Math.sqrt(a*a-1)/Math.cos(S))),this.lat0<0&&(this.u_0=-this.u_0)),i=.5*f,this.v_pole_n=this.ArB*Math.log(Math.tan(u-i)),this.v_pole_s=this.ArB*Math.log(Math.tan(u+i))},forward:function(e){var t,n,a,i,r,l,c,u,d={};if(e.x=e.x-this.lam0,Math.abs(Math.abs(e.y)-o)>s){if(t=.5*((r=this.E/Math.pow(J(this.e,e.y,Math.sin(e.y)),this.B))-(l=1/r)),n=.5*(r+l),i=Math.sin(this.B*e.x),a=(t*this.singam-i*this.cosgam)/n,Math.abs(Math.abs(a)-1)<s)throw new Error;u=.5*this.ArB*Math.log((1-a)/(1+a)),l=Math.cos(this.B*e.x),c=Math.abs(l)<xt?this.A*e.x:this.ArB*Math.atan2(t*this.cosgam+i*this.singam,l)}else u=e.y>0?this.v_pole_n:this.v_pole_s,c=this.ArB*e.y;return this.no_rot?(d.x=c,d.y=u):(c-=this.u_0,d.x=u*this.cosrot+c*this.sinrot,d.y=c*this.cosrot-u*this.sinrot),d.x=this.a*d.x+this.x0,d.y=this.a*d.y+this.y0,d},inverse:function(e){var t,n,a,i,r,l,c,u={};if(e.x=(e.x-this.x0)*(1/this.a),e.y=(e.y-this.y0)*(1/this.a),this.no_rot?(n=e.y,t=e.x):(n=e.x*this.cosrot-e.y*this.sinrot,t=e.y*this.cosrot+e.x*this.sinrot+this.u_0),i=.5*((a=Math.exp(-this.BrA*n))-1/a),r=.5*(a+1/a),c=((l=Math.sin(this.BrA*t))*this.cosgam+i*this.singam)/r,Math.abs(Math.abs(c)-1)<s)u.x=0,u.y=c<0?-o:o;else{if(u.y=this.E/Math.sqrt((1+c)/(1-c)),u.y=X(this.e,Math.pow(u.y,1/this.B)),u.y===1/0)throw new Error;u.x=-this.rB*Math.atan2(i*this.cosgam-l*this.singam,Math.cos(this.BrA*t))}return u.x+=this.lam0,u},names:["Hotine_Oblique_Mercator","Hotine Oblique Mercator","Hotine_Oblique_Mercator_variant_A","Hotine_Oblique_Mercator_Variant_B","Hotine_Oblique_Mercator_Azimuth_Natural_Origin","Hotine_Oblique_Mercator_Two_Point_Natural_Origin","Hotine_Oblique_Mercator_Azimuth_Center","Oblique_Mercator","omerc"]};const kt={init:function(){if(this.lat2||(this.lat2=this.lat1),this.k0||(this.k0=1),this.x0=this.x0||0,this.y0=this.y0||0,!(Math.abs(this.lat1+this.lat2)<s)){var e=this.b/this.a;this.e=Math.sqrt(1-e*e);var t=Math.sin(this.lat1),n=Math.cos(this.lat1),a=$(this.e,t,n),i=J(this.e,this.lat1,t),r=Math.sin(this.lat2),l=Math.cos(this.lat2),c=$(this.e,r,l),u=J(this.e,this.lat2,r),d=Math.abs(Math.abs(this.lat0)-o)<s?0:J(this.e,this.lat0,Math.sin(this.lat0));Math.abs(this.lat1-this.lat2)>s?this.ns=Math.log(a/c)/Math.log(i/u):this.ns=t,isNaN(this.ns)&&(this.ns=t),this.f0=a/(this.ns*Math.pow(i,this.ns)),this.rh=this.a*this.f0*Math.pow(d,this.ns),this.title||(this.title="Lambert Conformal Conic")}},forward:function(e){var t=e.x,n=e.y;Math.abs(2*Math.abs(n)-Math.PI)<=s&&(n=Q(n)*(o-2e-10));var a,i,r=Math.abs(Math.abs(n)-o);if(r>s)a=J(this.e,n,Math.sin(n)),i=this.a*this.f0*Math.pow(a,this.ns);else{if((r=n*this.ns)<=0)return null;i=0}var l=this.ns*Y(t-this.long0);return e.x=this.k0*(i*Math.sin(l))+this.x0,e.y=this.k0*(this.rh-i*Math.cos(l))+this.y0,e},inverse:function(e){var t,n,a,i,r,s=(e.x-this.x0)/this.k0,l=this.rh-(e.y-this.y0)/this.k0;this.ns>0?(t=Math.sqrt(s*s+l*l),n=1):(t=-Math.sqrt(s*s+l*l),n=-1);var c=0;if(0!==t&&(c=Math.atan2(n*s,n*l)),0!==t||this.ns>0){if(n=1/this.ns,a=Math.pow(t/(this.a*this.f0),n),-9999===(i=X(this.e,a)))return null}else i=-o;return r=Y(c/this.ns+this.long0),e.x=r,e.y=i,e},names:["Lambert Tangential Conformal Conic Projection","Lambert_Conformal_Conic","Lambert_Conformal_Conic_1SP","Lambert_Conformal_Conic_2SP","lcc","Lambert Conic Conformal (1SP)","Lambert Conic Conformal (2SP)"]};const Et={init:function(){this.a=6377397.155,this.es=.006674372230614,this.e=Math.sqrt(this.es),this.lat0||(this.lat0=.863937979737193),this.long0||(this.long0=.4334234309119251),this.k0||(this.k0=.9999),this.s45=.785398163397448,this.s90=2*this.s45,this.fi0=this.lat0,this.e2=this.es,this.e=Math.sqrt(this.e2),this.alfa=Math.sqrt(1+this.e2*Math.pow(Math.cos(this.fi0),4)/(1-this.e2)),this.uq=1.04216856380474,this.u0=Math.asin(Math.sin(this.fi0)/this.alfa),this.g=Math.pow((1+this.e*Math.sin(this.fi0))/(1-this.e*Math.sin(this.fi0)),this.alfa*this.e/2),this.k=Math.tan(this.u0/2+this.s45)/Math.pow(Math.tan(this.fi0/2+this.s45),this.alfa)*this.g,this.k1=this.k0,this.n0=this.a*Math.sqrt(1-this.e2)/(1-this.e2*Math.pow(Math.sin(this.fi0),2)),this.s0=1.37008346281555,this.n=Math.sin(this.s0),this.ro0=this.k1*this.n0/Math.tan(this.s0),this.ad=this.s90-this.uq},forward:function(e){var t,n,a,i,r,o,s,l=e.x,c=e.y,u=Y(l-this.long0);return t=Math.pow((1+this.e*Math.sin(c))/(1-this.e*Math.sin(c)),this.alfa*this.e/2),n=2*(Math.atan(this.k*Math.pow(Math.tan(c/2+this.s45),this.alfa)/t)-this.s45),a=-u*this.alfa,i=Math.asin(Math.cos(this.ad)*Math.sin(n)+Math.sin(this.ad)*Math.cos(n)*Math.cos(a)),r=Math.asin(Math.cos(n)*Math.sin(a)/Math.cos(i)),o=this.n*r,s=this.ro0*Math.pow(Math.tan(this.s0/2+this.s45),this.n)/Math.pow(Math.tan(i/2+this.s45),this.n),e.y=s*Math.cos(o)/1,e.x=s*Math.sin(o)/1,this.czech||(e.y*=-1,e.x*=-1),e},inverse:function(e){var t,n,a,i,r,o,s,l=e.x;e.x=e.y,e.y=l,this.czech||(e.y*=-1,e.x*=-1),r=Math.sqrt(e.x*e.x+e.y*e.y),i=Math.atan2(e.y,e.x)/Math.sin(this.s0),a=2*(Math.atan(Math.pow(this.ro0/r,1/this.n)*Math.tan(this.s0/2+this.s45))-this.s45),t=Math.asin(Math.cos(this.ad)*Math.sin(a)-Math.sin(this.ad)*Math.cos(a)*Math.cos(i)),n=Math.asin(Math.cos(a)*Math.sin(i)/Math.cos(t)),e.x=this.long0-n/this.alfa,o=t,s=0;var c=0;do{e.y=2*(Math.atan(Math.pow(this.k,-1/this.alfa)*Math.pow(Math.tan(t/2+this.s45),1/this.alfa)*Math.pow((1+this.e*Math.sin(o))/(1-this.e*Math.sin(o)),this.e/2))-this.s45),Math.abs(o-e.y)<1e-10&&(s=1),o=e.y,c+=1}while(0===s&&c<15);return c>=15?null:e},names:["Krovak","krovak"]};function Tt(e,t,n,a,i){return e*i-t*Math.sin(2*i)+n*Math.sin(4*i)-a*Math.sin(6*i)}function At(e){return 1-.25*e*(1+e/16*(3+1.25*e))}function Ct(e){return.375*e*(1+.25*e*(1+.46875*e))}function Nt(e){return.05859375*e*e*(1+.75*e)}function It(e){return e*e*e*(35/3072)}function Dt(e,t,n){var a=t*n;return e/Math.sqrt(1-a*a)}function Rt(e){return Math.abs(e)<o?e:e-Q(e)*Math.PI}function Lt(e,t,n,a,i){var r,o;r=e/t;for(var s=0;s<15;s++)if(r+=o=(e-(t*r-n*Math.sin(2*r)+a*Math.sin(4*r)-i*Math.sin(6*r)))/(t-2*n*Math.cos(2*r)+4*a*Math.cos(4*r)-6*i*Math.cos(6*r)),Math.abs(o)<=1e-10)return r;return NaN}const Ot={init:function(){this.sphere||(this.e0=At(this.es),this.e1=Ct(this.es),this.e2=Nt(this.es),this.e3=It(this.es),this.ml0=this.a*Tt(this.e0,this.e1,this.e2,this.e3,this.lat0))},forward:function(e){var t,n,a=e.x,i=e.y;if(a=Y(a-this.long0),this.sphere)t=this.a*Math.asin(Math.cos(i)*Math.sin(a)),n=this.a*(Math.atan2(Math.tan(i),Math.cos(a))-this.lat0);else{var r=Math.sin(i),o=Math.cos(i),s=Dt(this.a,this.e,r),l=Math.tan(i)*Math.tan(i),c=a*Math.cos(i),u=c*c,d=this.es*o*o/(1-this.es);t=s*c*(1-u*l*(1/6-(8-l+8*d)*u/120)),n=this.a*Tt(this.e0,this.e1,this.e2,this.e3,i)-this.ml0+s*r/o*u*(.5+(5-l+6*d)*u/24)}return e.x=t+this.x0,e.y=n+this.y0,e},inverse:function(e){e.x-=this.x0,e.y-=this.y0;var t,n,a=e.x/this.a,i=e.y/this.a;if(this.sphere){var r=i+this.lat0;t=Math.asin(Math.sin(r)*Math.cos(a)),n=Math.atan2(Math.tan(a),Math.cos(r))}else{var l=Lt(this.ml0/this.a+i,this.e0,this.e1,this.e2,this.e3);if(Math.abs(Math.abs(l)-o)<=s)return e.x=this.long0,e.y=o,i<0&&(e.y*=-1),e;var c=Dt(this.a,this.e,Math.sin(l)),u=c*c*c/this.a/this.a*(1-this.es),d=Math.pow(Math.tan(l),2),h=a*this.a/c,p=h*h;t=l-c*Math.tan(l)/u*h*h*(.5-(1+3*d)*h*h/24),n=h*(1-p*(d/3+(1+3*d)*d*p/15))/Math.cos(l)}return e.x=Y(n+this.long0),e.y=Rt(t),e},names:["Cassini","Cassini_Soldner","cass"]};function jt(e,t){var n;return e>1e-7?(1-e*e)*(t/(1-(n=e*t)*n)-.5/e*Math.log((1-n)/(1+n))):2*t}var Gt=.3333333333333333,Ft=.17222222222222222,zt=.10257936507936508,Vt=.06388888888888888,Ut=.0664021164021164,Bt=.016415012942191543;const Kt={init:function(){var e,t=Math.abs(this.lat0);if(Math.abs(t-o)<s?this.mode=this.lat0<0?1:2:Math.abs(t)<s?this.mode=3:this.mode=4,this.es>0)switch(this.qp=jt(this.e,1),this.mmf=.5/(1-this.es),this.apa=function(e){var t,n=[];
vendor: 6,607 bytes, line 2
2return n[0]=e*Gt,t=e*e,n[0]+=t*Ft,n[1]=t*Vt,t*=e,n[0]+=t*zt,n[1]+=t*Ut,n[2]=t*Bt,n}(this.es),this.mode){case 2:case 1:this.dd=1;break;case 3:this.rq=Math.sqrt(.5*this.qp),this.dd=1/this.rq,this.xmf=1,this.ymf=.5*this.qp;break;case 4:this.rq=Math.sqrt(.5*this.qp),e=Math.sin(this.lat0),this.sinb1=jt(this.e,e)/this.qp,this.cosb1=Math.sqrt(1-this.sinb1*this.sinb1),this.dd=Math.cos(this.lat0)/(Math.sqrt(1-this.es*e*e)*this.rq*this.cosb1),this.ymf=(this.xmf=this.rq)/this.dd,this.xmf*=this.dd}else 4===this.mode&&(this.sinph0=Math.sin(this.lat0),this.cosph0=Math.cos(this.lat0))},forward:function(e){var t,n,a,i,r,l,c,d,h,p,f=e.x,m=e.y;if(f=Y(f-this.long0),this.sphere){if(r=Math.sin(m),p=Math.cos(m),a=Math.cos(f),this.mode===this.OBLIQ||this.mode===this.EQUIT){if((n=this.mode===this.EQUIT?1+p*a:1+this.sinph0*r+this.cosph0*p*a)<=s)return null;t=(n=Math.sqrt(2/n))*p*Math.sin(f),n*=this.mode===this.EQUIT?r:this.cosph0*r-this.sinph0*p*a}else if(this.mode===this.N_POLE||this.mode===this.S_POLE){if(this.mode===this.N_POLE&&(a=-a),Math.abs(m+this.lat0)<s)return null;n=u-.5*m,t=(n=2*(this.mode===this.S_POLE?Math.cos(n):Math.sin(n)))*Math.sin(f),n*=a}}else{switch(c=0,d=0,h=0,a=Math.cos(f),i=Math.sin(f),r=Math.sin(m),l=jt(this.e,r),this.mode!==this.OBLIQ&&this.mode!==this.EQUIT||(c=l/this.qp,d=Math.sqrt(1-c*c)),this.mode){case this.OBLIQ:h=1+this.sinb1*c+this.cosb1*d*a;break;case this.EQUIT:h=1+d*a;break;case this.N_POLE:h=o+m,l=this.qp-l;break;case this.S_POLE:h=m-o,l=this.qp+l}if(Math.abs(h)<s)return null;switch(this.mode){case this.OBLIQ:case this.EQUIT:h=Math.sqrt(2/h),n=this.mode===this.OBLIQ?this.ymf*h*(this.cosb1*c-this.sinb1*d*a):(h=Math.sqrt(2/(1+d*a)))*c*this.ymf,t=this.xmf*h*d*i;break;case this.N_POLE:case this.S_POLE:l>=0?(t=(h=Math.sqrt(l))*i,n=a*(this.mode===this.S_POLE?h:-h)):t=n=0}}return e.x=this.a*t+this.x0,e.y=this.a*n+this.y0,e},inverse:function(e){e.x-=this.x0,e.y-=this.y0;var t,n,a,i,r,l,c,u=e.x/this.a,d=e.y/this.a;if(this.sphere){var h,p=0,f=0;if((n=.5*(h=Math.sqrt(u*u+d*d)))>1)return null;switch(n=2*Math.asin(n),this.mode!==this.OBLIQ&&this.mode!==this.EQUIT||(f=Math.sin(n),p=Math.cos(n)),this.mode){case this.EQUIT:n=Math.abs(h)<=s?0:Math.asin(d*f/h),u*=f,d=p*h;break;case this.OBLIQ:n=Math.abs(h)<=s?this.lat0:Math.asin(p*this.sinph0+d*f*this.cosph0/h),u*=f*this.cosph0,d=(p-Math.sin(n)*this.sinph0)*h;break;case this.N_POLE:d=-d,n=o-n;break;case this.S_POLE:n-=o}t=0!==d||this.mode!==this.EQUIT&&this.mode!==this.OBLIQ?Math.atan2(u,d):0}else{if(c=0,this.mode===this.OBLIQ||this.mode===this.EQUIT){if(u/=this.dd,d*=this.dd,(l=Math.sqrt(u*u+d*d))<s)return e.x=this.long0,e.y=this.lat0,e;i=2*Math.asin(.5*l/this.rq),a=Math.cos(i),u*=i=Math.sin(i),this.mode===this.OBLIQ?(c=a*this.sinb1+d*i*this.cosb1/l,r=this.qp*c,d=l*this.cosb1*a-d*this.sinb1*i):(c=d*i/l,r=this.qp*c,d=l*a)}else if(this.mode===this.N_POLE||this.mode===this.S_POLE){if(this.mode===this.N_POLE&&(d=-d),!(r=u*u+d*d))return e.x=this.long0,e.y=this.lat0,e;c=1-r/this.qp,this.mode===this.S_POLE&&(c=-c)}t=Math.atan2(u,d),n=function(e,t){var n=e+e;return e+t[0]*Math.sin(n)+t[1]*Math.sin(n+n)+t[2]*Math.sin(n+n+n)}(Math.asin(c),this.apa)}return e.x=Y(this.long0+t),e.y=n,e},names:["Lambert Azimuthal Equal Area","Lambert_Azimuthal_Equal_Area","laea"],S_POLE:1,N_POLE:2,EQUIT:3,OBLIQ:4};function qt(e){return Math.abs(e)>1&&(e=e>1?1:-1),Math.asin(e)}const Ht={init:function(){Math.abs(this.lat1+this.lat2)<s||(this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e3=Math.sqrt(this.es),this.sin_po=Math.sin(this.lat1),this.cos_po=Math.cos(this.lat1),this.t1=this.sin_po,this.con=this.sin_po,this.ms1=$(this.e3,this.sin_po,this.cos_po),this.qs1=jt(this.e3,this.sin_po),this.sin_po=Math.sin(this.lat2),this.cos_po=Math.cos(this.lat2),this.t2=this.sin_po,this.ms2=$(this.e3,this.sin_po,this.cos_po),this.qs2=jt(this.e3,this.sin_po),this.sin_po=Math.sin(this.lat0),this.cos_po=Math.cos(this.lat0),this.t3=this.sin_po,this.qs0=jt(this.e3,this.sin_po),Math.abs(this.lat1-this.lat2)>s?this.ns0=(this.ms1*this.ms1-this.ms2*this.ms2)/(this.qs2-this.qs1):this.ns0=this.con,this.c=this.ms1*this.ms1+this.ns0*this.qs1,this.rh=this.a*Math.sqrt(this.c-this.ns0*this.qs0)/this.ns0)},forward:function(e){var t=e.x,n=e.y;this.sin_phi=Math.sin(n),this.cos_phi=Math.cos(n);var a=jt(this.e3,this.sin_phi),i=this.a*Math.sqrt(this.c-this.ns0*a)/this.ns0,r=this.ns0*Y(t-this.long0),o=i*Math.sin(r)+this.x0,s=this.rh-i*Math.cos(r)+this.y0;return e.x=o,e.y=s,e},inverse:function(e){var t,n,a,i,r,o;return e.x-=this.x0,e.y=this.rh-e.y+this.y0,this.ns0>=0?(t=Math.sqrt(e.x*e.x+e.y*e.y),a=1):(t=-Math.sqrt(e.x*e.x+e.y*e.y),a=-1),i=0,0!==t&&(i=Math.atan2(a*e.x,a*e.y)),a=t*this.ns0/this.a,this.sphere?o=Math.asin((this.c-a*a)/(2*this.ns0)):(n=(this.c-a*a)/this.ns0,o=this.phi1z(this.e3,n)),r=Y(i/this.ns0+this.long0),e.x=r,e.y=o,e},names:["Albers_Conic_Equal_Area","Albers_Equal_Area","Albers","aea"],phi1z:function(e,t){var n,a,i,r,o=qt(.5*t);if(e<s)return o;for(var l=e*e,c=1;c<=25;c++)if(o+=r=.5*(i=1-(a=e*(n=Math.sin(o)))*a)*i/Math.cos(o)*(t/(1-l)-n/i+.5/e*Math.log((1-a)/(1+a))),Math.abs(r)<=1e-7)return o;return null}};const Wt={init:function(){this.sin_p14=Math.sin(this.lat0),this.cos_p14=Math.cos(this.lat0),this.infinity_dist=1e3*this.a,this.rc=1},forward:function(e){var t,n,a,i,r,o,l,c=e.x,u=e.y;return a=Y(c-this.long0),t=Math.sin(u),n=Math.cos(u),i=Math.cos(a),(r=this.sin_p14*t+this.cos_p14*n*i)>0||Math.abs(r)<=s?(o=this.x0+1*this.a*n*Math.sin(a)/r,l=this.y0+1*this.a*(this.cos_p14*t-this.sin_p14*n*i)/r):(o=this.x0+this.infinity_dist*n*Math.sin(a),l=this.y0+this.infinity_dist*(this.cos_p14*t-this.sin_p14*n*i)),e.x=o,e.y=l,e},inverse:function(e){var t,n,a,i,r,o;return e.x=(e.x-this.x0)/this.a,e.y=(e.y-this.y0)/this.a,e.x/=this.k0,e.y/=this.k0,(t=Math.sqrt(e.x*e.x+e.y*e.y))?(i=Math.atan2(t,this.rc),n=Math.sin(i),o=qt((a=Math.cos(i))*this.sin_p14+e.y*n*this.cos_p14/t),r=Math.atan2(e.x*n,t*this.cos_p14*a-e.y*this.sin_p14*n),r=Y(this.long0+r)):(o=this.phic0,r=0),e.x=r,e.y=o,e},names:["gnom"]};const $t={init:function(){this.sphere||(this.k0=$(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)))},forward:function(e){var t,n,a=e.x,i=e.y,r=Y(a-this.long0);if(this.sphere)t=this.x0+this.a*r*Math.cos(this.lat_ts),n=this.y0+this.a*Math.sin(i)/Math.cos(this.lat_ts);else{var o=jt(this.e,Math.sin(i));t=this.x0+this.a*this.k0*r,n=this.y0+this.a*o*.5/this.k0}return e.x=t,e.y=n,e},inverse:function(e){var t,n;return e.x-=this.x0,e.y-=this.y0,this.sphere?(t=Y(this.long0+e.x/this.a/Math.cos(this.lat_ts)),n=Math.asin(e.y/this.a*Math.cos(this.lat_ts))):(n=function(e,t){var n=1-(1-e*e)/(2*e)*Math.log((1-e)/(1+e));
vendor: 10,282 bytes, line 2
2if(Math.abs(Math.abs(t)-n)<1e-6)return t<0?-1*o:o;for(var a,i,r,s,l=Math.asin(.5*t),c=0;c<30;c++)if(i=Math.sin(l),r=Math.cos(l),s=e*i,l+=a=Math.pow(1-s*s,2)/(2*r)*(t/(1-e*e)-i/(1-s*s)+.5/e*Math.log((1-s)/(1+s))),Math.abs(a)<=1e-10)return l;return NaN}(this.e,2*e.y*this.k0/this.a),t=Y(this.long0+e.x/(this.a*this.k0))),e.x=t,e.y=n,e},names:["cea"]};const Qt={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.lat0=this.lat0||0,this.long0=this.long0||0,this.lat_ts=this.lat_ts||0,this.title=this.title||"Equidistant Cylindrical (Plate Carre)",this.rc=Math.cos(this.lat_ts)},forward:function(e){var t=e.x,n=e.y,a=Y(t-this.long0),i=Rt(n-this.lat0);return e.x=this.x0+this.a*a*this.rc,e.y=this.y0+this.a*i,e},inverse:function(e){var t=e.x,n=e.y;return e.x=Y(this.long0+(t-this.x0)/(this.a*this.rc)),e.y=Rt(this.lat0+(n-this.y0)/this.a),e},names:["Equirectangular","Equidistant_Cylindrical","Equidistant_Cylindrical_Spherical","eqc"]};const Yt={init:function(){this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e=Math.sqrt(this.es),this.e0=At(this.es),this.e1=Ct(this.es),this.e2=Nt(this.es),this.e3=It(this.es),this.ml0=this.a*Tt(this.e0,this.e1,this.e2,this.e3,this.lat0)},forward:function(e){var t,n,a,i=e.x,r=e.y,o=Y(i-this.long0);if(a=o*Math.sin(r),this.sphere)Math.abs(r)<=s?(t=this.a*o,n=-1*this.a*this.lat0):(t=this.a*Math.sin(a)/Math.tan(r),n=this.a*(Rt(r-this.lat0)+(1-Math.cos(a))/Math.tan(r)));else if(Math.abs(r)<=s)t=this.a*o,n=-1*this.ml0;else{var l=Dt(this.a,this.e,Math.sin(r))/Math.tan(r);t=l*Math.sin(a),n=this.a*Tt(this.e0,this.e1,this.e2,this.e3,r)-this.ml0+l*(1-Math.cos(a))}return e.x=t+this.x0,e.y=n+this.y0,e},inverse:function(e){var t,n,a,i,r,o,l,c,u;if(a=e.x-this.x0,i=e.y-this.y0,this.sphere)if(Math.abs(i+this.a*this.lat0)<=s)t=Y(a/this.a+this.long0),n=0;else{var d;for(o=this.lat0+i/this.a,l=a*a/this.a/this.a+o*o,c=o,r=20;r;--r)if(c+=u=-1*(o*(c*(d=Math.tan(c))+1)-c-.5*(c*c+l)*d)/((c-o)/d-1),Math.abs(u)<=s){n=c;break}t=Y(this.long0+Math.asin(a*Math.tan(c)/this.a)/Math.sin(n))}else if(Math.abs(i+this.ml0)<=s)n=0,t=Y(this.long0+a/this.a);else{var h,p,f,m,g;for(o=(this.ml0+i)/this.a,l=a*a/this.a/this.a+o*o,c=o,r=20;r;--r)if(g=this.e*Math.sin(c),h=Math.sqrt(1-g*g)*Math.tan(c),p=this.a*Tt(this.e0,this.e1,this.e2,this.e3,c),f=this.e0-2*this.e1*Math.cos(2*c)+4*this.e2*Math.cos(4*c)-6*this.e3*Math.cos(6*c),c-=u=(o*(h*(m=p/this.a)+1)-m-.5*h*(m*m+l))/(this.es*Math.sin(2*c)*(m*m+l-2*o*m)/(4*h)+(o-m)*(h*f-2/Math.sin(2*c))-f),Math.abs(u)<=s){n=c;break}h=Math.sqrt(1-this.es*Math.pow(Math.sin(n),2))*Math.tan(n),t=Y(this.long0+Math.asin(a*h/this.a)/Math.sin(n))}return e.x=t,e.y=n,e},names:["Polyconic","American_Polyconic","poly"]};const Jt={init:function(){this.A=[],this.A[1]=.6399175073,this.A[2]=-.1358797613,this.A[3]=.063294409,this.A[4]=-.02526853,this.A[5]=.0117879,this.A[6]=-.0055161,this.A[7]=.0026906,this.A[8]=-.001333,this.A[9]=67e-5,this.A[10]=-34e-5,this.B_re=[],this.B_im=[],this.B_re[1]=.7557853228,this.B_im[1]=0,this.B_re[2]=.249204646,this.B_im[2]=.003371507,this.B_re[3]=-.001541739,this.B_im[3]=.04105856,this.B_re[4]=-.10162907,this.B_im[4]=.01727609,this.B_re[5]=-.26623489,this.B_im[5]=-.36249218,this.B_re[6]=-.6870983,this.B_im[6]=-1.1651967,this.C_re=[],this.C_im=[],this.C_re[1]=1.3231270439,this.C_im[1]=0,this.C_re[2]=-.577245789,this.C_im[2]=-.007809598,this.C_re[3]=.508307513,this.C_im[3]=-.112208952,this.C_re[4]=-.15094762,this.C_im[4]=.18200602,this.C_re[5]=1.01418179,this.C_im[5]=1.64497696,this.C_re[6]=1.9660549,this.C_im[6]=2.5127645,this.D=[],this.D[1]=1.5627014243,this.D[2]=.5185406398,this.D[3]=-.03333098,this.D[4]=-.1052906,this.D[5]=-.0368594,this.D[6]=.007317,this.D[7]=.0122,this.D[8]=.00394,this.D[9]=-.0013},forward:function(e){var t,n=e.x,a=e.y-this.lat0,i=n-this.long0,o=a/r*1e-5,s=i,l=1,c=0;for(t=1;t<=10;t++)l*=o,c+=this.A[t]*l;var u,d=c,h=s,p=1,f=0,m=0,g=0;for(t=1;t<=6;t++)u=f*d+p*h,p=p*d-f*h,f=u,m=m+this.B_re[t]*p-this.B_im[t]*f,g=g+this.B_im[t]*p+this.B_re[t]*f;return e.x=g*this.a+this.x0,e.y=m*this.a+this.y0,e},inverse:function(e){var t,n,a=e.x,i=e.y,o=a-this.x0,s=(i-this.y0)/this.a,l=o/this.a,c=1,u=0,d=0,h=0;for(t=1;t<=6;t++)n=u*s+c*l,c=c*s-u*l,u=n,d=d+this.C_re[t]*c-this.C_im[t]*u,h=h+this.C_im[t]*c+this.C_re[t]*u;for(var p=0;p<this.iterations;p++){var f,m=d,g=h,y=s,v=l;for(t=2;t<=6;t++)f=g*d+m*h,m=m*d-g*h,g=f,y+=(t-1)*(this.B_re[t]*m-this.B_im[t]*g),v+=(t-1)*(this.B_im[t]*m+this.B_re[t]*g);m=1,g=0;var b=this.B_re[1],w=this.B_im[1];for(t=2;t<=6;t++)f=g*d+m*h,m=m*d-g*h,g=f,b+=t*(this.B_re[t]*m-this.B_im[t]*g),w+=t*(this.B_im[t]*m+this.B_re[t]*g);var S=b*b+w*w;d=(y*b+v*w)/S,h=(v*b-y*w)/S}var M=d,_=h,x=1,P=0;for(t=1;t<=9;t++)x*=M,P+=this.D[t]*x;var k=this.lat0+P*r*1e5,E=this.long0+_;return e.x=E,e.y=k,e},names:["New_Zealand_Map_Grid","nzmg"]};const Xt={init:function(){},forward:function(e){var t=e.x,n=e.y,a=Y(t-this.long0),i=this.x0+this.a*a,r=this.y0+this.a*Math.log(Math.tan(Math.PI/4+n/2.5))*1.25;return e.x=i,e.y=r,e},inverse:function(e){e.x-=this.x0,e.y-=this.y0;var t=Y(this.long0+e.x/this.a),n=2.5*(Math.atan(Math.exp(.8*e.y/this.a))-Math.PI/4);return e.x=t,e.y=n,e},names:["Miller_Cylindrical","mill"]};const Zt={init:function(){this.sphere?(this.n=1,this.m=0,this.es=0,this.C_y=Math.sqrt((this.m+1)/this.n),this.C_x=this.C_y/(this.m+1)):this.en=st(this.es)},forward:function(e){var t,n,a=e.x,i=e.y;if(a=Y(a-this.long0),this.sphere){if(this.m)for(var r=this.n*Math.sin(i),o=20;o;--o){var l=(this.m*i+Math.sin(i)-r)/(this.m+Math.cos(i));if(i-=l,Math.abs(l)<s)break}else i=1!==this.n?Math.asin(this.n*Math.sin(i)):i;t=this.a*this.C_x*a*(this.m+Math.cos(i)),n=this.a*this.C_y*i}else{var c=Math.sin(i),u=Math.cos(i);n=this.a*lt(i,c,u,this.en),t=this.a*a*u/Math.sqrt(1-this.es*c*c)}return e.x=t,e.y=n,e},inverse:function(e){var t,n,a;return e.x-=this.x0,n=e.x/this.a,e.y-=this.y0,t=e.y/this.a,this.sphere?(t/=this.C_y,n/=this.C_x*(this.m+Math.cos(t)),this.m?t=qt((this.m*t+Math.sin(t))/this.n):1!==this.n&&(t=qt(Math.sin(t)/this.n)),n=Y(n+this.long0),t=Rt(t)):(t=ct(e.y/this.a,this.es,this.en),(a=Math.abs(t))<o?(a=Math.sin(t),n=Y(this.long0+e.x*Math.sqrt(1-this.es*a*a)/(this.a*Math.cos(t)))):a-s<o&&(n=this.long0)),e.x=n,e.y=t,e},names:["Sinusoidal","sinu"]};const en={init:function(){},forward:function(e){for(var t=e.x,n=e.y,a=Y(t-this.long0),i=n,r=Math.PI*Math.sin(n);;){var o=-(i+Math.sin(i)-r)/(1+Math.cos(i));if(i+=o,Math.abs(o)<s)break}i/=2,Math.PI/2-Math.abs(n)<s&&(a=0);var l=.900316316158*this.a*a*Math.cos(i)+this.x0,c=1.4142135623731*this.a*Math.sin(i)+this.y0;return e.x=l,e.y=c,e},inverse:function(e){var t,n;e.x-=this.x0,e.y-=this.y0,n=e.y/(1.4142135623731*this.a),Math.abs(n)>.999999999999&&(n=.999999999999),t=Math.asin(n);var a=Y(this.long0+e.x/(.900316316158*this.a*Math.cos(t)));a<-Math.PI&&(a=-Math.PI),a>Math.PI&&(a=Math.PI),n=(2*t+Math.sin(2*t))/Math.PI,Math.abs(n)>1&&(n=1);var i=Math.asin(n);return e.x=a,e.y=i,e},names:["Mollweide","moll"]};const tn={init:function(){Math.abs(this.lat1+this.lat2)<s||(this.lat2=this.lat2||this.lat1,this.temp=this.b/this.a,this.es=1-Math.pow(this.temp,2),this.e=Math.sqrt(this.es),this.e0=At(this.es),this.e1=Ct(this.es),this.e2=Nt(this.es),this.e3=It(this.es),this.sin_phi=Math.sin(this.lat1),this.cos_phi=Math.cos(this.lat1),this.ms1=$(this.e,this.sin_phi,this.cos_phi),this.ml1=Tt(this.e0,this.e1,this.e2,this.e3,this.lat1),Math.abs(this.lat1-this.lat2)<s?this.ns=this.sin_phi:(this.sin_phi=Math.sin(this.lat2),this.cos_phi=Math.cos(this.lat2),this.ms2=$(this.e,this.sin_phi,this.cos_phi),this.ml2=Tt(this.e0,this.e1,this.e2,this.e3,this.lat2),this.ns=(this.ms1-this.ms2)/(this.ml2-this.ml1)),this.g=this.ml1+this.ms1/this.ns,this.ml0=Tt(this.e0,this.e1,this.e2,this.e3,this.lat0),this.rh=this.a*(this.g-this.ml0))},forward:function(e){var t,n=e.x,a=e.y;if(this.sphere)t=this.a*(this.g-a);else{var i=Tt(this.e0,this.e1,this.e2,this.e3,a);t=this.a*(this.g-i)}var r=this.ns*Y(n-this.long0),o=this.x0+t*Math.sin(r),s=this.y0+this.rh-t*Math.cos(r);return e.x=o,e.y=s,e},inverse:function(e){var t,n,a,i;e.x-=this.x0,e.y=this.rh-e.y+this.y0,this.ns>=0?(n=Math.sqrt(e.x*e.x+e.y*e.y),t=1):(n=-Math.sqrt(e.x*e.x+e.y*e.y),t=-1);var r=0;return 0!==n&&(r=Math.atan2(t*e.x,t*e.y)),this.sphere?(i=Y(this.long0+r/this.ns),a=Rt(this.g-n/this.a),e.x=i,e.y=a,e):(a=Lt(this.g-n/this.a,this.e0,this.e1,this.e2,this.e3),i=Y(this.long0+r/this.ns),e.x=i,e.y=a,e)},names:["Equidistant_Conic","eqdc"]};const nn={init:function(){this.R=this.a},forward:function(e){var t,n,a=e.x,i=e.y,r=Y(a-this.long0);Math.abs(i)<=s&&(t=this.x0+this.R*r,n=this.y0);var l=qt(2*Math.abs(i/Math.PI));(Math.abs(r)<=s||Math.abs(Math.abs(i)-o)<=s)&&(t=this.x0,n=i>=0?this.y0+Math.PI*this.R*Math.tan(.5*l):this.y0+Math.PI*this.R*-Math.tan(.5*l));var c=.5*Math.abs(Math.PI/r-r/Math.PI),u=c*c,d=Math.sin(l),h=Math.cos(l),p=h/(d+h-1),f=p*p,m=p*(2/d-1),g=m*m,y=Math.PI*this.R*(c*(p-g)+Math.sqrt(u*(p-g)*(p-g)-(g+u)*(f-g)))/(g+u);r<0&&(y=-y),t=this.x0+y;var v=u+p;return y=Math.PI*this.R*(m*v-c*Math.sqrt((g+u)*(u+1)-v*v))/(g+u),n=i>=0?this.y0+y:this.y0-y,e.x=t,e.y=n,e},inverse:function(e){var t,n,a,i,r,o,l,c,u,d,h,p;return e.x-=this.x0,e.y-=this.y0,h=Math.PI*this.R,r=(a=e.x/h)*a+(i=e.y/h)*i,h=3*(i*i/(c=-2*(o=-Math.abs(i)*(1+r))+1+2*i*i+r*r)+(2*(l=o-2*i*i+a*a)*l*l/c/c/c-9*o*l/c/c)/27)/(u=(o-l*l/3/c)/c)/(d=2*Math.sqrt(-u/3)),Math.abs(h)>1&&(h=h>=0?1:-1),p=Math.acos(h)/3,n=e.y>=0?(-d*Math.cos(p+Math.PI/3)-l/3/c)*Math.PI:-(-d*Math.cos(p+Math.PI/3)-l/3/c)*Math.PI,t=Math.abs(a)<s?this.long0:Y(this.long0+Math.PI*(r-1+Math.sqrt(1+2*(a*a-i*i)+r*r))/2/a),e.x=t,e.y=n,e},names:["Van_der_Grinten_I","VanDerGrinten","Van_der_Grinten","vandg"]};const an={init:function(){this.sin_p12=Math.sin(this.lat0),this.cos_p12=Math.cos(this.lat0),this.f=this.es/(1+Math.sqrt(1-this.es))},forward:function(e){var t,n,a,i,r,l,c,u,d,h,p,f=e.x,m=e.y,g=Math.sin(e.y),y=Math.cos(e.y),v=Y(f-this.long0);return this.sphere?Math.abs(this.sin_p12-1)<=s?(e.x=this.x0+this.a*(o-m)*Math.sin(v),e.y=this.y0-this.a*(o-m)*Math.cos(v),e):Math.abs(this.sin_p12+1)<=s?(e.x=this.x0+this.a*(o+m)*Math.sin(v),e.y=this.y0+this.a*(o+m)*Math.cos(v),e):(d=this.sin_p12*g+this.cos_p12*y*Math.cos(v),u=(c=Math.acos(d))?c/Math.sin(c):1,e.x=this.x0+this.a*u*y*Math.sin(v),e.y=this.y0+this.a*u*(this.cos_p12*g-this.sin_p12*y*Math.cos(v)),e):(t=At(this.es),n=Ct(this.es),a=Nt(this.es),i=It
vendor: 19,071 bytes, line 2
2(this.es),Math.abs(this.sin_p12-1)<=s?(r=this.a*Tt(t,n,a,i,o),l=this.a*Tt(t,n,a,i,m),e.x=this.x0+(r-l)*Math.sin(v),e.y=this.y0-(r-l)*Math.cos(v),e):Math.abs(this.sin_p12+1)<=s?(r=this.a*Tt(t,n,a,i,o),l=this.a*Tt(t,n,a,i,m),e.x=this.x0+(r+l)*Math.sin(v),e.y=this.y0+(r+l)*Math.cos(v),e):Math.abs(f)<s&&Math.abs(m-this.lat0)<s?(e.x=e.y=0,e):(h=function(e,t,n,a,i,r){const o=a-t,s=Math.atan((1-r)*Math.tan(e)),l=Math.atan((1-r)*Math.tan(n)),c=Math.sin(s),u=Math.cos(s),d=Math.sin(l),h=Math.cos(l);let p,f,m,g,y,v,b,w,S,M,_,x,P,k,E,T=o,A=100;do{if(f=Math.sin(T),m=Math.cos(T),g=Math.sqrt(h*f*(h*f)+(u*d-c*h*m)*(u*d-c*h*m)),0===g)return{azi1:0,s12:0};y=c*d+u*h*m,v=Math.atan2(g,y),b=u*h*f/g,w=1-b*b,S=0!==w?y-2*c*d/w:0,M=r/16*w*(4+r*(4-3*w)),p=T,T=o+(1-M)*r*b*(v+M*g*(S+M*y*(2*S*S-1)))}while(Math.abs(T-p)>1e-12&&--A>0);return 0===A?{azi1:NaN,s12:NaN}:(_=w*(i*i-i*(1-r)*(i*(1-r)))/(i*(1-r)*(i*(1-r))),x=1+_/16384*(4096+_*(_*(320-175*_)-768)),P=_/1024*(256+_*(_*(74-47*_)-128)),k=P*g*(S+P/4*(y*(2*S*S-1)-P/6*S*(4*g*g-3)*(4*S*S-3))),E=i*(1-r)*x*(v-k),{azi1:Math.atan2(h*f,u*d-c*h*m),s12:E})}(this.lat0,this.long0,m,f,this.a,this.f),p=h.azi1,e.x=h.s12*Math.sin(p),e.y=h.s12*Math.cos(p),e))},inverse:function(e){var t,n,a,i,r,l,c,u,d,h,p,f,m,g,y;if(e.x-=this.x0,e.y-=this.y0,this.sphere){if((t=Math.sqrt(e.x*e.x+e.y*e.y))>2*o*this.a)return;return n=t/this.a,a=Math.sin(n),i=Math.cos(n),r=this.long0,Math.abs(t)<=s?l=this.lat0:(l=qt(i*this.sin_p12+e.y*a*this.cos_p12/t),c=Math.abs(this.lat0)-o,r=Math.abs(c)<=s?this.lat0>=0?Y(this.long0+Math.atan2(e.x,-e.y)):Y(this.long0-Math.atan2(-e.x,e.y)):Y(this.long0+Math.atan2(e.x*a,t*this.cos_p12*i-e.y*this.sin_p12*a))),e.x=r,e.y=l,e}return u=At(this.es),d=Ct(this.es),h=Nt(this.es),p=It(this.es),Math.abs(this.sin_p12-1)<=s?(l=Lt(((f=this.a*Tt(u,d,h,p,o))-(t=Math.sqrt(e.x*e.x+e.y*e.y)))/this.a,u,d,h,p),r=Y(this.long0+Math.atan2(e.x,-1*e.y)),e.x=r,e.y=l,e):Math.abs(this.sin_p12+1)<=s?(f=this.a*Tt(u,d,h,p,o),l=Lt(((t=Math.sqrt(e.x*e.x+e.y*e.y))-f)/this.a,u,d,h,p),r=Y(this.long0+Math.atan2(e.x,e.y)),e.x=r,e.y=l,e):(m=Math.atan2(e.x,e.y),g=Math.sqrt(e.x*e.x+e.y*e.y),y=function(e,t,n,a,i,r){const o=Math.atan((1-r)*Math.tan(e)),s=Math.sin(o),l=Math.cos(o),c=Math.sin(n),u=Math.cos(n),d=Math.atan2(s,l*u),h=l*c,p=1-h*h,f=p*(i*i-i*(1-r)*(i*(1-r)))/(i*(1-r)*(i*(1-r))),m=1+f/16384*(4096+f*(f*(320-175*f)-768)),g=f/1024*(256+f*(f*(74-47*f)-128));let y,v,b,w,S,M=a/(i*(1-r)*m),_=100;do{v=Math.cos(2*d+M),b=Math.sin(M),w=Math.cos(M),S=g*b*(v+g/4*(w*(2*v*v-1)-g/6*v*(4*b*b-3)*(4*v*v-3))),y=M,M=a/(i*(1-r)*m)+S}while(Math.abs(M-y)>1e-12&&--_>0);if(0===_)return{lat2:NaN,lon2:NaN};const x=s*b-l*w*u,P=r/16*p*(4+r*(4-3*p));return{lat2:Math.atan2(s*w+l*b*u,(1-r)*Math.sqrt(h*h+x*x)),lon2:t+(Math.atan2(b*c,l*w-s*b*u)-(1-P)*r*h*(M+P*b*(v+P*w*(2*v*v-1))))}}(this.lat0,this.long0,m,g,this.a,this.f),e.x=y.lon2,e.y=y.lat2,e)},names:["Azimuthal_Equidistant","aeqd"]};const rn={init:function(){this.sin_p14=Math.sin(this.lat0),this.cos_p14=Math.cos(this.lat0)},forward:function(e){var t,n,a,i,r,o,l,c=e.x,u=e.y;return a=Y(c-this.long0),t=Math.sin(u),n=Math.cos(u),i=Math.cos(a),((r=this.sin_p14*t+this.cos_p14*n*i)>0||Math.abs(r)<=s)&&(o=1*this.a*n*Math.sin(a),l=this.y0+1*this.a*(this.cos_p14*t-this.sin_p14*n*i)),e.x=o,e.y=l,e},inverse:function(e){var t,n,a,i,r,l,c;return e.x-=this.x0,e.y-=this.y0,n=qt((t=Math.sqrt(e.x*e.x+e.y*e.y))/this.a),a=Math.sin(n),i=Math.cos(n),l=this.long0,Math.abs(t)<=s?(c=this.lat0,e.x=l,e.y=c,e):(c=qt(i*this.sin_p14+e.y*a*this.cos_p14/t),r=Math.abs(this.lat0)-o,Math.abs(r)<=s?(l=this.lat0>=0?Y(this.long0+Math.atan2(e.x,-e.y)):Y(this.long0-Math.atan2(-e.x,e.y)),e.x=l,e.y=c,e):(l=Y(this.long0+Math.atan2(e.x*a,t*this.cos_p14*i-e.y*this.sin_p14*a)),e.x=l,e.y=c,e))},names:["ortho"]};var on=1,sn=2,ln=3,cn=4,un=5,dn=6,hn=1,pn=2,fn=3,mn=4;function gn(e,t,n,a){var i;return e<s?(a.value=hn,i=0):(i=Math.atan2(t,n),Math.abs(i)<=u?a.value=hn:i>u&&i<=o+u?(a.value=pn,i-=o):i>o+u||i<=-(o+u)?(a.value=fn,i=i>=0?i-h:i+h):(a.value=mn,i+=o)),i}function yn(e,t){var n=e+t;return n<-h?n+=d:n>+h&&(n-=d),n}const vn={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.lat0=this.lat0||0,this.long0=this.long0||0,this.lat_ts=this.lat_ts||0,this.title=this.title||"Quadrilateralized Spherical Cube",this.lat0>=o-u/2?this.face=un:this.lat0<=-(o-u/2)?this.face=dn:Math.abs(this.long0)<=u?this.face=on:Math.abs(this.long0)<=o+u?this.face=this.long0>0?sn:cn:this.face=ln,0!==this.es&&(this.one_minus_f=1-(this.a-this.b)/this.a,this.one_minus_f_squared=this.one_minus_f*this.one_minus_f)},forward:function(e){var t,n,a,i,r,s,l={x:0,y:0},c={value:0};if(e.x-=this.long0,t=0!==this.es?Math.atan(this.one_minus_f_squared*Math.tan(e.y)):e.y,n=e.x,this.face===un)i=o-t,n>=u&&n<=o+u?(c.value=hn,a=n-o):n>o+u||n<=-(o+u)?(c.value=pn,a=n>0?n-h:n+h):n>-(o+u)&&n<=-u?(c.value=fn,a=n+o):(c.value=mn,a=n);else if(this.face===dn)i=o+t,n>=u&&n<=o+u?(c.value=hn,a=-n+o):n<u&&n>=-u?(c.value=pn,a=-n):n<-u&&n>=-(o+u)?(c.value=fn,a=-n-o):(c.value=mn,a=n>0?-n+h:-n-h);else{var d,p,f,m,g,y;this.face===sn?n=yn(n,+o):this.face===ln?n=yn(n,+h):this.face===cn&&(n=yn(n,-o)),m=Math.sin(t),g=Math.cos(t),y=Math.sin(n),d=g*Math.cos(n),p=g*y,f=m,this.face===on?a=gn(i=Math.acos(d),f,p,c):this.face===sn?a=gn(i=Math.acos(p),f,-d,c):this.face===ln?a=gn(i=Math.acos(-d),f,-p,c):this.face===cn?a=gn(i=Math.acos(-p),f,d,c):(i=a=0,c.value=hn)}return s=Math.atan(12/h*(a+Math.acos(Math.sin(a)*Math.cos(u))-o)),r=Math.sqrt((1-Math.cos(i))/(Math.cos(s)*Math.cos(s))/(1-Math.cos(Math.atan(1/Math.cos(a))))),c.value===pn?s+=o:c.value===fn?s+=h:c.value===mn&&(s+=1.5*h),l.x=r*Math.cos(s),l.y=r*Math.sin(s),l.x=l.x*this.a+this.x0,l.y=l.y*this.a+this.y0,e.x=l.x,e.y=l.y,e},inverse:function(e){var t,n,a,i,r,s,l,c,u,d,p,f,m={lam:0,phi:0},g={value:0};if(e.x=(e.x-this.x0)/this.a,e.y=(e.y-this.y0)/this.a,n=Math.atan(Math.sqrt(e.x*e.x+e.y*e.y)),t=Math.atan2(e.y,e.x),e.x>=0&&e.x>=Math.abs(e.y)?g.value=hn:e.y>=0&&e.y>=Math.abs(e.x)?(g.value=pn,t-=o):e.x<0&&-e.x>=Math.abs(e.y)?(g.value=fn,t=t<0?t+h:t-h):(g.value=mn,t+=o),u=h/12*Math.tan(t),r=Math.sin(u)/(Math.cos(u)-1/Math.sqrt(2)),s=Math.atan(r),(l=1-(a=Math.cos(t))*a*(i=Math.tan(n))*i*(1-Math.cos(Math.atan(1/Math.cos(s)))))<-1?l=-1:l>1&&(l=1),this.face===un)c=Math.acos(l),m.phi=o-c,g.value===hn?m.lam=s+o:g.value===pn?m.lam=s<0?s+h:s-h:g.value===fn?m.lam=s-o:m.lam=s;else if(this.face===dn)c=Math.acos(l),m.phi=c-o,g.value===hn?m.lam=-s+o:g.value===pn?m.lam=-s:g.value===fn?m.lam=-s-o:m.lam=s<0?-s-h:-s+h;else{var y,v,b;u=(y=l)*y,v=(u+=(b=u>=1?0:Math.sqrt(1-u)*Math.sin(s))*b)>=1?0:Math.sqrt(1-u),g.value===pn?(u=v,v=-b,b=u):g.value===fn?(v=-v,b=-b):g.value===mn&&(u=v,v=b,b=-u),this.face===sn?(u=y,y=-v,v=u):this.face===ln?(y=-y,v=-v):this.face===cn&&(u=y,y=v,v=-u),m.phi=Math.acos(-b)-o,m.lam=Math.atan2(v,y),this.face===sn?m.lam=yn(m.lam,-o):this.face===ln?m.lam=yn(m.lam,-h):this.face===cn&&(m.lam=yn(m.lam,+o))}return 0!==this.es&&(d=m.phi<0?1:0,p=Math.tan(m.phi),f=this.b/Math.sqrt(p*p+this.one_minus_f_squared),m.phi=Math.atan(Math.sqrt(this.a*this.a-f*f)/(this.one_minus_f*f)),d&&(m.phi=-m.phi)),m.lam+=this.long0,e.x=m.lam,e.y=m.phi,e},names:["Quadrilateralized Spherical Cube","Quadrilateralized_Spherical_Cube","qsc"]};var bn=[[1,22199e-21,-715515e-10,31103e-10],[.9986,-482243e-9,-24897e-9,-13309e-10],[.9954,-83103e-8,-448605e-10,-9.86701e-7],[.99,-.00135364,-59661e-9,36777e-10],[.9822,-.00167442,-449547e-11,-572411e-11],[.973,-.00214868,-903571e-10,1.8736e-8],[.96,-.00305085,-900761e-10,164917e-11],[.9427,-.00382792,-653386e-10,-26154e-10],[.9216,-.00467746,-10457e-8,481243e-11],[.8962,-.00536223,-323831e-10,-543432e-11],[.8679,-.00609363,-113898e-9,332484e-11],[.835,-.00698325,-640253e-10,9.34959e-7],[.7986,-.00755338,-500009e-10,9.35324e-7],[.7597,-.00798324,-35971e-9,-227626e-11],[.7186,-.00851367,-701149e-10,-86303e-10],[.6732,-.00986209,-199569e-9,191974e-10],[.6213,-.010418,883923e-10,624051e-11],[.5722,-.00906601,182e-6,624051e-11],[.5322,-.00677797,275608e-9,624051e-11]],wn=[[-520417e-23,.0124,121431e-23,-845284e-16],[.062,.0124,-1.26793e-9,4.22642e-10],[.124,.0124,5.07171e-9,-1.60604e-9],[.186,.0123999,-1.90189e-8,6.00152e-9],[.248,.0124002,7.10039e-8,-2.24e-8],[.31,.0123992,-2.64997e-7,8.35986e-8],[.372,.0124029,9.88983e-7,-3.11994e-7],[.434,.0123893,-369093e-11,-4.35621e-7],[.4958,.0123198,-102252e-10,-3.45523e-7],[.5571,.0121916,-154081e-10,-5.82288e-7],[.6176,.0119938,-241424e-10,-5.25327e-7],[.6769,.011713,-320223e-10,-5.16405e-7],[.7346,.0113541,-397684e-10,-6.09052e-7],[.7903,.0109107,-489042e-10,-104739e-11],[.8435,.0103431,-64615e-9,-1.40374e-9],[.8936,.00969686,-64636e-9,-8547e-9],[.9394,.00840947,-192841e-9,-42106e-10],[.9761,.00616527,-256e-6,-42106e-10],[1,.00328947,-319159e-9,-42106e-10]],Sn=.8487,Mn=1.3523,_n=c/5,xn=1/_n,Pn=18,kn=function(e,t){return e[0]+t*(e[1]+t*(e[2]+t*e[3]))};const En={init:function(){this.x0=this.x0||0,this.y0=this.y0||0,this.long0=this.long0||0,this.es=0,this.title=this.title||"Robinson"},forward:function(e){var t=Y(e.x-this.long0),n=Math.abs(e.y),a=Math.floor(n*_n);a<0?a=0:a>=Pn&&(a=17);var i={x:kn(bn[a],n=c*(n-xn*a))*t,y:kn(wn[a],n)};return e.y<0&&(i.y=-i.y),i.x=i.x*this.a*Sn+this.x0,i.y=i.y*this.a*Mn+this.y0,i},inverse:function(e){var t={x:(e.x-this.x0)/(this.a*Sn),y:Math.abs(e.y-this.y0)/(this.a*Mn)};if(t.y>=1)t.x/=bn[18][0],t.y=e.y<0?-o:o;else{var n=Math.floor(t.y*Pn);for(n<0?n=0:n>=Pn&&(n=17);;)if(wn[n][0]>t.y)--n;else{if(!(wn[n+1][0]<=t.y))break;++n}var a=wn[n],i=5*(t.y-a[0])/(wn[n+1][0]-a[0]);i=function(e,t,n,a){for(var i=t;a;--a){var r=e(i);if(i-=r,Math.abs(r)<n)break}return i}(function(e){return(kn(a,e)-t.y)/function(e,t){return e[1]+t*(2*e[2]+3*t*e[3])}(a,e)},i,s,100),t.x/=kn(bn[n],i),t.y=(5*n+i)*l,e.y<0&&(t.y=-t.y)}return t.x=Y(t.x+this.long0),t},names:["Robinson","robin"]};const Tn={init:function(){this.name="geocent"},forward:function(e){return xe(e,this.es,this.a)},inverse:function(e){return Pe(e,this.es,this.a,this.b)},names:["Geocentric","geocentric","geocent","Geocent"]};var An=0,Cn=1,Nn=2,In=3,Dn={h:{def:1e5,num:!0},azi:{def:0,num:!0,degrees:!0},tilt:{def:0,num:!0,degrees:!0},long0:{def:0,num:!0},lat0:{def:0,num:!0}};const Rn={init:function(){if(Object.keys(Dn).forEach(function(e){if("undefined"===typeof this[e])this[e]=Dn[e].def;else{if(Dn[e].num&&isNaN(this[e]))throw new Error("Invalid parameter value, must be numeric "+e+" = "+this[e]);Dn[e].num&&(this[e]=parseFloat(this[e]))}Dn[e].degrees&&(this[e]=this[e]*l)}.bind(this)),Math.abs(Math.abs(this.lat0)-o)<s?this.mode=this.lat0<0?Cn:An:Math.abs(this.lat0)<s?this.mode=Nn:(this.mode=In,this.sinph0=Math.sin(this.lat0),this.cosph0=Math.cos(this.lat0)),this.pn1=this.h/this.a,this.pn1<=0||this.pn1>1e10)throw new Error("Invalid height");this.p=1+this.pn1,this.rp=1/this.p,this.h1=1/this.pn1,this.pfact=(this.p+1)*this.h1,this.es=0;var e=this.tilt,t=this.azi;this.cg=Math.cos(t),this.sg=Math.sin(t),this.cw=Math.cos(e),this.sw=Math.sin(e)},forward:function(e){e.x-=this.long0;var t,n,a,i,r=Math.sin(e.y),o=Math.cos(e.y),s=Math.cos(e.x);switch(this.mode){case In:n=this.sinph0*r+this.cosph0*o*s;break;case Nn:n=o*s;break;case Cn:n=-r;break;case An:n=r}switch(t=(n=this.pn1/(this.p-n))*o*Math.sin(e.x),this.mode){case In:n*=this.cosph0*r-this.sinph0*o*s;break;case Nn:n*=r;break;case An:n*=-o*s;break;case Cn:n*=o*s}return i=1/((a=n*this.cg+t*this.sg)*this.sw*this.h1+this.cw),t=(t*this.cg-n*this.sg)*this.cw*i,n=a*i,e.x=t*this.a,e.y=n*this.a,e},inverse:function(e){e.x/=this.a,e.y/=this.a;var t,n,a,i={x:e.x,y:e.y};a=1/(this.pn1-e.y*this.sw),t=this.pn1*e.x*a,n=this.pn1*e.y*this.cw*a,e.x=t*this.cg+n*this.sg,e.y=n*this.cg-t*this.sg;var r=ht(e.x,e.y);if(Math.abs(r)<s)i.x=0,i.y=e.y;else{var o,l;switch(l=1-r*r*this.pfact,l=(this.p-Math.sqrt(l))/(this.pn1/r+r/this.pn1),o=Math.sqrt(1-l*l),this.mode){case In:i.y=Math.asin(o*this.sinph0+e.y*l*this.cosph0/r),e.y=(o-this.sinph0*Math.sin(i.y))*r,e.x*=l*this.cosph0;break;case Nn:i.y=Math.asin(e.y*l/r),e.y=o*r,e.x*=l;break;case An:i.y=Math.asin(o),e.y=-e.y;break;case Cn:i.y=-Math.asin(o)}i.x=Math.atan2(e.x,e.y)}return e.x=i.x+this.long0,e.y=i.y,e},names:["Tilted_Perspective","tpers"]};const Ln={init:function(){if(this.flip_axis="x"===this.sweep?1:0,this.h=Number(this.h),this.radius_g_1=this.h/this.a,this.radius_g_1<=0||this.radius_g_1>1e10)throw new Error;if(this.radius_g=1+this.radius_g_1,this.C=this.radius_g*this.radius_g-1,0!==this.es){var e=1-this.es,t=1/e;this.radius_p=Math.sqrt(e),this.radius_p2=e,this.radius_p_inv2=t,this.shape="ellipse"}else this.radius_p=1,this.radius_p2=1,this.radius_p_inv2=1,this.shape="sphere";this.title||(this.title="Geostationary Satellite View")},forward:function(e){var t,n,a,i,r=e.x,o=e.y;if(r-=this.long0,"ellipse"===this.shape){o=Math.atan(this.radius_p2*Math.tan(o));var s=this.radius_p/ht(this.radius_p*Math.cos(o),Math.sin(o));if(n=s*Math.cos(r)*Math.cos(o),a=s*Math.sin(r)*Math.cos(o),i=s*Math.sin(o),(this.radius_g-n)*n-a*a-i*i*this.radius_p_inv2<0)return e.x=Number.NaN,e.y=Number.NaN,e;t=this.radius_g-n,this.flip_axis?(e.x=this.radius_g_1*Math.atan(a/ht(i,t)),e.y=this.radius_g_1*Math.atan(i/t)):(e.x=this.radius_g_1*Math.atan(a/t),e.y=this.radius_g_1*Math.atan(i/ht(a,t)))}else"sphere"===this.shape&&(t=Math.cos(o),n=Math.cos(r)*t,a=Math.sin(r)*t,i=Math.sin(o),t=this.radius_g-n,this.flip_axis?(e.x=this.radius_g_1*Math.atan(a/ht(i,t)),e.y=this.radius_g_1*Math.atan(i/t)):(e.x=this.radius_g_1*Math.atan(a/t),e.y=this.radius_g_1*Math.atan(i/ht(a,t))));return e.x=e.x*this.a,e.y=e.y*this.a,e},inverse:function(e){var t,n,a,i,r=-1,o=0,s=0;if(e.x=e.x/this.a,e.y=e.y/this.a,"ellipse"===this.shape){this.flip_axis?(s=Math.tan(e.y/this.radius_g_1),o=Math.tan(e.x/this.radius_g_1)*ht(1,s)):(o=Math.tan(e.x/this.radius_g_1),s=Math.tan(e.y/this.radius_g_1)*ht(1,o));var l=s/this.radius_p;if(t=o*o+l*l+r*r,(a=(n=2*this.radius_g*r)*n-4*t*this.C)<0)return e.x=Number.NaN,e.y=Number.NaN,e;i=(-n-Math.sqrt(a))/(2*t),r=this.radius_g+i*r,o*=i,s*=i,e.x=Math.atan2(o,r),e.y=Math.atan(s*Math.cos(e.x)/r),e.y=Math.atan(this.radius_p_inv2*Math.tan(e.y))}else if("sphere"===this.shape){if(this.flip_axis?(s=Math.tan(e.y/this.radius_g_1),o=Math.tan(e.x/this.radius_g_1)*Math.sqrt(1+s*s)):(o=Math.tan(e.x/this.radius_g_1),s=Math.tan(e.y/this.radius_g_1)*Math.sqrt(1+o*o)),t=o*o+s*s+r*r,(a=(n=2*this.radius_g*r)*n-4*t*this.C)<0)return e.x=Number.NaN,e.y=Number.NaN,e;i=(-n-Math.sqrt(a))/(2*t),r=this.radius_g+i*r,o*=i,s*=i,e.x=Math.atan2(o,r),e.y=Math.atan(s*Math.cos(e.x)/r)}return e.x=e.x+this.long0,e},names:["Geostationary Satellite 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t=this.am1+this.m1-lt(r,n=Math.sin(r),a=Math.cos(r),this.en),n=a*i/(t*Math.sqrt(1-this.es*n*n)),e.x=t*Math.sin(n),e.y=this.am1-t*Math.cos(n),e.x=this.a*e.x+(this.x0||0),e.y=this.a*e.y+(this.y0||0),e}function Kn(e){var t,n,a,i;if(e.x=(e.x-(this.x0||0))/this.a,e.y=(e.y-(this.y0||0))/this.a,n=ht(e.x,e.y=this.am1-e.y),i=ct(this.am1+this.m1-n,this.es,this.en),(t=Math.abs(i))<o)t=Math.sin(i),a=n*Math.atan2(e.x,e.y)*Math.sqrt(1-this.es*t*t)/Math.cos(i);else{if(!(Math.abs(t-o)<=Un))throw new Error;a=0}return e.x=Y(a+(this.long0||0)),e.y=Rt(i),e}function qn(e){var t,n,a=Y(e.x-(this.long0||0)),i=e.y;return n=this.cphi1+this.phi1-i,Math.abs(n)>Un?(e.x=n*Math.sin(t=a*Math.cos(i)/n),e.y=this.cphi1-n*Math.cos(t)):e.x=e.y=0,e.x=this.a*e.x+(this.x0||0),e.y=this.a*e.y+(this.y0||0),e}function Hn(e){var t,n;e.x=(e.x-(this.x0||0))/this.a,e.y=(e.y-(this.y0||0))/this.a;var a=ht(e.x,e.y=this.cphi1-e.y);if(n=this.cphi1+this.phi1-a,Math.abs(n)>o)throw new Error;return 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