The research of AI & ST focuses on application of artificial intelligence technology in intelligent transportation system, such as data acquisition and processing technology, image recognition technology, vehicle-road cooperation technology. These technologies have broad application prospects in intelligent traffic monitoring, intelligent travel decision-making and intelligent traffic management. The education and research purposes are to help students develop the awareness and ability to apply theories, methods and techniques of intelligent transportation system science to solve problems. Specifically, AI & ST engages in the following research focus areas:

1) Intelligent traffic monitoring. By using image monitoring and recognition technology, and the traffic flow, congestion, traffic lights and other conditions on the road can be mastered in real time.

2) Intelligent travel decision-making. Obtain traffic information data, and by using big data technology to analyze the road traffic conditions shown on the map in detail, and more accurate road traffic information is provided for users and the guidance scheme that best meets the needs of travelers is given to travelers.

3) Intelligent traffic management. By adjusting the length of the traffic signal intelligently, or using the corresponding mode to dredge the traffic reasonably and effectively, and the traffic management is accomplished and the standard of intelligent is adjusted, and the traffic congestion is reduced.