Vietnam’s bustling southern metropolis, Ho Chi Minh City, is rolling out new technology aimed at improving traffic flow and reducing congestion.
The city is piloting advanced AI systems to control traffic lights at key intersections, aiming to streamline one of the most challenging aspects of urban mobility.
The city has integrated artificial intelligence (AI) into traffic management at several critical intersections, such as Hang Xanh, Dai Liet Si, and the junctions of Ung Van Khiem - Nguyen Gia Tri and Nguyen Gia Tri - D5 in Binh Thanh District.
These areas have seen noticeable improvements in traffic stability since the project began.
Ho Chi Minh City is now taking its traffic control to the next level with the application of Digital Twin technology.
This system collects real-time data about road conditions, such as traffic congestion and accidents, and provides automatic updates to operators.
Heavy traffic congestion at the Hang Xanh intersection in Binh Thanh District, Ho Chi Minh City during rush hour.
By incorporating AI, the system aims to enhance the management of arterial routes, including Pham Van Dong, Vo Van Kiet, and Mai Chi Tho.
The Department of Transport is now considering expanding the AI-driven system to other parts of the city, including the Tan Son Nhat International Airport and its surrounding areas.
High-traffic locations in the city center are also on the radar for further expansion, as authorities continue to combat congestion.
Ho Chi Minh City manages over 1,000 traffic light posts, including 794 that follow a standard green-yellow-red cycle and 256 that operate in flashing yellow mode.
However, some technical issues like power outages, equipment failures, and damaged lights sometimes cause disruptions.
To address this, operators monitor and adjust traffic light timings in real-time, especially during peak traffic hours.
During rush hours, from 6:30 am to 9:00 am and 4:00 pm to 8:00 pm, the city deploys traffic police, volunteers, and other task forces to manually manage traffic.
The additional personnel assist with regulating traffic light operations, ensuring smoother movement throughout the city.
Police officer managing traffic at a busy intersection.
In areas where traffic lights are connected to the central control system, these adjustments are made more easily, with operators monitoring and fine-tuning light timings to alleviate congestion.
These proactive measures are part of the city’s ongoing efforts to use technology and human resources to reduce the strain on traffic systems and improve overall urban mobility.
As cities like Ho Chi Minh continue to integrate advanced technologies into their daily operations, the true test will lie in balancing innovation with the complexities of urban life.
AI-driven traffic systems represent a significant leap towards smarter cities, but their success depends not just on technological capability, but also on adaptability, collaboration, and long-term sustainability.
Will this be the key to unlocking urban mobility, or merely a temporary fix?
The path forward requires bold thinking, continuous improvement, and a commitment to solving deeper, systemic challenges.
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