New Generation Intelligent Transportation System
This project was invited for presentation at the 30th ITS World Congress 2024 in Dubai and has received multiple prestigious awards, including:
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2024 ASOCIO DX Award for Outstanding Public Collaboration Service
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2024 Smart City Innovation Application Award (Smart Transportation Category)
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2023 ITS Taiwan Intelligent Transportation Application Award
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2023 Global Urban Governance Excellence Award (Environmental Protection Category)
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2023 Smart City Outstanding Contribution Award (Smart Transportation Category)
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2022 MOTC Intelligent Transportation System Development Project Evaluation: Special Excellence
Next-Generation Intelligent Transportation System
Breaking from traditional traffic control paradigms, the system emphasizes AI-optimized traffic control systems and big data analytics. It integrates multi-departmental data (public transit, parking management, traffic safety, meteorology) through API services, enhancing traffic incident response capabilities and reducing evacuation times for large-scale events. Key features include:
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Visualized smart dashboards for real-time monitoring, deployed during major events like Kaohsiung National Day Fireworks, 2022 Taiwan Lantern Festival, and New Year's Eve celebrations.
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Cross-domain management integrating traffic control, real-time monitoring, incident response, decision support, and electric bus data platforms.
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Public-centric metrics focusing on safety, sustainability, service efficiency, and ecological preservation.
Large-Scale Event Traffic Management
Leverages telecom signaling data and Kaohsiung MRT/light rail ridership analytics to optimize crowd evacuation plans, shuttle routes, and transit frequency adjustments.
Real-Time Traffic Monitoring and Incident Response
Introduces impact-level tracking to distinguish between recurring and non-recurring congestion patterns, enabling dynamic adjustment of traffic management strategies.
AI-Driven Decision Support
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AI knowledge base synthesizes pedestrian flow, vehicle flow, road conditions, transit routes, and historical traffic plans for actionable insights.
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Predictive models forecast 2-hour travel times and parking availability using big data and machine learning.
Digital Twin Monitoring Platform
A 3D visualization tool that dynamically displays traffic patterns and historical simulations, aiding in root-cause analysis for infrastructure improvements.
Kaohsiung Real-Time Traffic Information Portal
Provides comprehensive updates on road conditions, parking (off-street/on-street/smart spaces), YouBike availability, MRT/light rail status, and incidents, ensuring reliable public access to transportation data.
(Information and Image Source: Transportation Bureau, Kaohsiung City Government)