Tainan Implements Smart Dynamic Traffic Signals, Shortening Commute Time on Science Park Arterial Road by 16%
Tainan City Government has implemented an AI-powered smart dynamic traffic signal system around the Southern Taiwan Science Park (STSP) to alleviate heavy traffic. This system, which analyzes real-time traffic flow to adjust signal timings, has reduced morning peak commute times by approximately 16%, significantly improving traffic efficiency.
📋 Article Processing Timeline
- 📰 Published: May 11, 2026 at 19:05
- 🔍 Collected: May 11, 2026 at 19:32 (26 min after Published)
- 🤖 AI Analyzed: May 11, 2026 at 20:32 (59 min after Collected)
Central News Agency (CNA)
(Tainan, May 11, CNA reporter Yang Szu-jui) The Southern Taiwan Science Park (STSP) Tainan Park experiences heavy traffic during peak commute hours. To address this, the Tainan City Government has installed an AI smart traffic signal system on key arterial roads. By analyzing real-time traffic flow in all directions, the system instantaneously adjusts signal timings, and actual tests have shown that morning peak travel time can be reduced by approximately 16%.
The Tainan City Government held a press conference today at the Yonghua Municipal Center to announce the results of the “Xingangshe Avenue and Provincial Highway 19A/Siraya Avenue Intersection Smart Dynamic Traffic Signal System,” with Mayor Huang Wei-che officially launching the smart corridor.
Mayor Huang Wei-che stated in his speech that the continuous development of the Southern Taiwan Science Park has attracted a large working population and created significant commuting demands. The smoothness of traffic around the Tainan Park is not only related to the quality of life for citizens but also a crucial foundation for urban competitiveness. Facing limited road space and continuously increasing traffic flow, the city government is actively introducing smart technology, hoping to improve traffic bottlenecks with more efficient management methods.
Huang Wei-che pointed out that in recent years, through expanding YouBike public bicycle stations and building AI smart traffic signal systems, the overall transportation network around the STSP has been gradually improved. The smart corridor on Xingangshe Avenue, launched today, focuses on using AI to analyze real-time traffic conditions and automatically adjust signal timings. This enhances traffic efficiency in limited road space, transforming previously congested sections into smooth commuting corridors.
According to data provided by the Tainan City Transportation Bureau, Xingangshe Avenue is a crucial arterial road for accessing and exiting the STSP Tainan Park. This smart corridor project installed a total of 14 sets of AI detection equipment, linking 7 signalized intersections. By using AI to analyze traffic density in each direction minute by minute, it instantly adjusts green light durations. When traffic demand increases in a specific direction, the system can automatically interrupt the current green light configuration to extend the passage time for the congested direction.
The Transportation Bureau noted that in response to the characteristics of STSP's peak commute hours, the system adopts a strategy of "intercepting flow during morning peaks and dispersing flow during evening peaks." When downstream sections experience congestion, traffic flow can be controlled upstream in advance to prevent large volumes of traffic from concentrating at bottleneck intersections.
According to actual test data from the Transportation Bureau, after the system was activated, morning peak travel time on Xingangshe Avenue decreased by approximately 16.3%, travel delay reduced by 20.5%, and congestion duration shortened by about 840 seconds (approximately 14 minutes). Travel time at the Provincial Highway 19A/Siraya Avenue intersection also shortened by 14%, effectively improving commuting efficiency on the east and south sides of the STSP.
The Transportation Bureau also highlighted that this project is the first to integrate with the Environmental Protection Bureau's "AI-driven License Plate Recognition and Air Pollution Detection System." This system can automatically identify vehicles that have not completed their exhaust emission inspections and link to a database for subsequent management. (Editor: Chen Ching-fang) 1150511
Choose to stand with the facts; every sponsorship you provide supports press freedom.
Download CNA's "Firsthand News" APP to stay updated.
Text, images, and videos on this website may not be reproduced, publicly broadcast, or publicly transmitted and used without authorization.
(Tainan, May 11, CNA reporter Yang Szu-jui) The Southern Taiwan Science Park (STSP) Tainan Park experiences heavy traffic during peak commute hours. To address this, the Tainan City Government has installed an AI smart traffic signal system on key arterial roads. By analyzing real-time traffic flow in all directions, the system instantaneously adjusts signal timings, and actual tests have shown that morning peak travel time can be reduced by approximately 16%.
The Tainan City Government held a press conference today at the Yonghua Municipal Center to announce the results of the “Xingangshe Avenue and Provincial Highway 19A/Siraya Avenue Intersection Smart Dynamic Traffic Signal System,” with Mayor Huang Wei-che officially launching the smart corridor.
Mayor Huang Wei-che stated in his speech that the continuous development of the Southern Taiwan Science Park has attracted a large working population and created significant commuting demands. The smoothness of traffic around the Tainan Park is not only related to the quality of life for citizens but also a crucial foundation for urban competitiveness. Facing limited road space and continuously increasing traffic flow, the city government is actively introducing smart technology, hoping to improve traffic bottlenecks with more efficient management methods.
Huang Wei-che pointed out that in recent years, through expanding YouBike public bicycle stations and building AI smart traffic signal systems, the overall transportation network around the STSP has been gradually improved. The smart corridor on Xingangshe Avenue, launched today, focuses on using AI to analyze real-time traffic conditions and automatically adjust signal timings. This enhances traffic efficiency in limited road space, transforming previously congested sections into smooth commuting corridors.
According to data provided by the Tainan City Transportation Bureau, Xingangshe Avenue is a crucial arterial road for accessing and exiting the STSP Tainan Park. This smart corridor project installed a total of 14 sets of AI detection equipment, linking 7 signalized intersections. By using AI to analyze traffic density in each direction minute by minute, it instantly adjusts green light durations. When traffic demand increases in a specific direction, the system can automatically interrupt the current green light configuration to extend the passage time for the congested direction.
The Transportation Bureau noted that in response to the characteristics of STSP's peak commute hours, the system adopts a strategy of "intercepting flow during morning peaks and dispersing flow during evening peaks." When downstream sections experience congestion, traffic flow can be controlled upstream in advance to prevent large volumes of traffic from concentrating at bottleneck intersections.
According to actual test data from the Transportation Bureau, after the system was activated, morning peak travel time on Xingangshe Avenue decreased by approximately 16.3%, travel delay reduced by 20.5%, and congestion duration shortened by about 840 seconds (approximately 14 minutes). Travel time at the Provincial Highway 19A/Siraya Avenue intersection also shortened by 14%, effectively improving commuting efficiency on the east and south sides of the STSP.
The Transportation Bureau also highlighted that this project is the first to integrate with the Environmental Protection Bureau's "AI-driven License Plate Recognition and Air Pollution Detection System." This system can automatically identify vehicles that have not completed their exhaust emission inspections and link to a database for subsequent management. (Editor: Chen Ching-fang) 1150511
Choose to stand with the facts; every sponsorship you provide supports press freedom.
Download CNA's "Firsthand News" APP to stay updated.
Text, images, and videos on this website may not be reproduced, publicly broadcast, or publicly transmitted and used without authorization.