
The Taoyuan City Government Transportation Bureau has introduced AI smart signal control systems at 14 intersections around the Da-Nan Interchange since July, which has effectively alleviated traffic congestion during peak hours, shortened average travel time, and significantly reduced the number of complaints.
AI-generated summary
The traffic lanes around the Daman Interchange are complex, and traditional timed signals are no longer able to respond to traffic flow and ramp congestion in real time.
The "AI Smart Sign Control System" can monitor traffic flow in real time. (Provided by Taoyuan City Government)
The Taoyuan City Government Transportation Bureau has introduced the "AI Smart Sign Control System" at 14 intersections around the Da-Nan Interchange in Bade District since July. It uses big data to real-time adjust the green light time at the intersection, shortening the average travel time by 46 seconds during the peak period from 7 to 9 am. During the peak period from 5 pm to 7 pm, it will focus on improving the section of the interchange towards Heping Road and Heqiang Road, and the average travel time has been shortened by 28 seconds.
Zhang Xinfu, Director of Transportation, said that in order to solve the long-term traffic congestion bottleneck problem around the Daman Interchange, the Transportation Bureau introduced an AI smart signal control system, which for the first time incorporated the real-time traffic flow of the entrance and exit ramps of National Highway 2 into the model calculation. After 8 months of data collection and deep learning adjustment, it has achieved the results of "reducing the average travel time by 6%" and "reducing delays at intersections by 5%" in the overall site, and is estimated to reduce 33 metric tons of carbon dioxide emissions per year.
The traffic lines around the Daman Interchange are complex, and traditional timed signals are no longer able to respond to traffic flow and ramp congestion in real time. Zhang Xinfu explained that the introduction of an AI smart signal control system allows the signals to have the ability to "understand the traffic flow in real time and dynamically adjust the seconds", and through big data The real-time adjustment of green light time at intersections has shown results during rush hours. Taking the morning rush hour as an example, the overall average travel time has been shortened by 46 seconds, and people's commuting time has been reduced by 14.1%, effectively playing the role of quickly diverting traffic flow.
In the past, there were an average of about 16 "municipal mailbox" complaint cases per month regarding congestion at Da-Nan Interchange. After the AI smart signal control system was launched, the average number of complaints per month dropped to 4, a decrease of about 75%. Zhang Xinfu said that the city government has obtained a design subsidy for the development and construction of the smart transportation system from the Ministry of Transportation. It is expected that the AI smart signal control system will be introduced into the Nankan Interchange Chunri Corridor next year, making every effort to improve the congestion problem on Chunri Road during the afternoon rush hour.
The "AI smart signal control system" is introduced at the intersections around the Daman Interchange, and the green light time of the intersection is adjusted in real time through big data. (Provided by Taoyuan City Government)
AI outlook — possibilities, not facts
The AI smart signal control system will be introduced into the Chunri Corridor of Nankan Interchange next year
Likely · Within months

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