In Guangdong Province – home to China’s longest expressway network of more than 11,700 km – the YueTongXing intelligent transportation system has become a modern dispatch center, especially effective during peak times such as the Lunar New Year.

The expressway management center of Guangdong province, China. (Source: Bastillepost)
During peak holiday periods, the YueTongXing system handled up to 9.15 million vehicles per day, thanks to its real-time traffic monitoring and dispatching capabilities.
YueTongXing system monitors traffic using AI and big data analysis. The platform integrates technologies such as AI, cloud computing, big data and language models to analyze traffic behavior, predict congestion and automatically provide dispatching solutions.
To optimize management efficiency, YueTongXing divides the traffic network into separate control zones, continuously monitoring vehicle speed, traffic density, and incidents. When an abnormal situation is detected, the system automatically develops a response plan and coordinates with relevant units to ensure safe and smooth traffic.
In the event of an accident on the road, drivers can use the app to send their exact location to the rescue team. Thanks to AI locating and analyzing the situation, response times are shortened by up to 40%, helping to handle accidents faster and reduce the risk of prolonged congestion.
YueTongXing is not only a management platform but also a digital traffic assistant for citizens. Through this system, users can easily look up the average speed of routes, as well as traffic status displayed in intuitive colors such as red, yellow, green to identify the level of congestion.
In addition, the platform also provides an optimal route planning function, helping drivers avoid congested areas and save time. In addition, YueTongXing helps users find their way to service stations, and processes electronic toll collection (ETC) and billing procedures quickly and conveniently, contributing to improving the overall traffic experience.
The system is heavily deployed in the Pearl River Delta, where cross-sea routes and traffic are complex. Dividing into three control zones helps optimize coordination and respond quickly to unusual situations.

A highway interchange in Guangdong, China. (Source: Pandaily)
In addition to the YeuTongXing system, a study in Fujian using AI and machine learning models has developed a holiday traffic prediction model based on data from ETC toll stations. Data from ETC toll stations helps traffic managers accurately predict traffic volume during holidays, which often fluctuates abnormally.
By applying AI and deep learning models, the system can analyze travel trends, identify congestion-prone points, and then propose appropriate coordination solutions. As a result, people are guided to choose more suitable routes, while authorities are more proactive in reducing congestion and improving the efficiency of traffic network operations.
In addition, during holidays and Tet, China increases the use of cameras and electronic signs to allow vehicles to use the emergency lane as a temporary lane to increase traffic area. This situation only applies during peak times and will be closed when no longer needed.
Source: https://vtcnews.vn/tro-ly-giao-thong-so-giup-xu-ly-hon-9-trieu-xe-ngay-dip-le-ar962513.html
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