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https://www.google.com.tw/maps/@25.0597604,121.2079272,16.76z?hl=zh-TW
This project is the first implementation of AI signal control in Taiwan with a decentralized framework to solve congestion problems in real-time.
To proof the feasibility of AI signal control, RS Ltd. cooperated with the Taoyuan City Transportation Bureau, and selected five consecutive intersections in Dayuan area as the demonstration site. Including: west side of Dayuan Interchange of Freeway No. 2, Hengnan Intersection, Pin'an Intersection, Min'an Intersection and Minsheng Intersection, 5 intersections.
**** Through image-processing vehicle detector, AI could calculate green time in real-time. Traffic signals can dynamically adjust to reduce the average stop delay by 20%, and then avoiding traffic jams, making traffic smoother.

<aside> 📰 Related reports: 自由時報報導 桃園電子報 (The AI signal control mentioned in the stories is power by RS Ltd.)
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This project is the first implementation of real-time AI signal control in Taiwan with a decentralized framework to solve traffic congestion problems.
To prove the feasibility of AI signal control, RisingStar Ltd. cooperated with the Taoyuan City Transportation Bureau, and selected five consecutive intersections in Dayuan area as the demonstration site. The selected five intersections located along Zhongzheng East Road which are: west side of Dayuan Interchange of Freeway No. 2, Hengnan Intersection, Pin'an Intersection, Min'an Intersection and Minsheng Intersection, respectively.
Based on the traffic flow data collected by video-based vehicle detectors, AI could calculate green time in real-time and adjust traffic signal dynamically. In the before-and-after analysis, AI signal control system can reduce the average stop delay by 20%, and then avoiding traffic jams, making traffic smoother

Existing traffic problems before the improvement:
49.3 → 39.7 seconds ; reduce 9.6 seconds (-19.4 %)