| Technical Name | The technology of urban traffic control optimization platform | ||
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| Project Operator | National Applied Research Laboratories | ||
| Project Host | 林芳邦資深研究員 | ||
| Summary | The urban traffic control optimization platform technology is developed by combining vehicle tracking and identification technology with traffic control factor simulation technology, the system is equipped with vehicle counting and vehicle type classification, regional intersection traffic simulation, light optimization and other functions. Through the combination of traffic information and deep learning analysis to help optimize traffic signals at each intersection, it promotes smoother driving for the public. |
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| Scientific Breakthrough | This technology can be applied to traffic flow analysis at intersections, regional vehicle classification statistics, traffic signal optimization, and similar applications. Through the cooperation of regional traffic authorities, it can improve traffic congestion and optimize the average time of waiting and the speed of traffic flow. |
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| Industrial Applicability | This technology can be applied to traffic flow analysis at intersections, regional vehicle classification statistics, traffic signal optimization and other applications. With the cooperation of regional traffic authorities, it can help improve traffic congestion and optimize the average waiting time and speed of traffic. |
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| Matching Needs | - |
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| Keyword | Intelligent Traffic Flow Traffic Control Deep Learning Reinforcement learning | ||
| Notes | |||
- Contact
- schumi@narlabs.org.tw
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