Chongqing - Chongqing’s public transport sector has been recognized at the 2025 Wu Wenjun Artificial Intelligence Science and Technology Award, where a project on modeling and predicting vehicle behavior in autonomous driving environments won first prize in the Science and Technology Progress categor.

Established in 2011 by China’s Ministry of Science and Technology and named after AI pioneer Wu Wenjun, winner of China’s first State Preeminent Science and Technology Award, the award is widely regarded as one of the most authoritative and prestigious honors in China’s AI field.

On real roads, drivers and pedestrians behave differently—some drive aggressively, others cautiously, and pedestrians may suddenly change direction or hesitate. If not properly interpreted by autonomous driving systems, can lead to inaccurate predictions and impact road safety and efficiency.

To address this challenge, the project, helped by Chongqing Public Transport Operation Co., focused on driver behavior differences and applied deep learning, Bayesian inference, genetic algorithms, and knowledge graphs to build a full system for behavior modeling, trajectory prediction, and safety decision-making, improving the accuracy and reliability of autonomous driving predictions.

The project’s technologies have already been tested in real-world autonomous driving trials and other smart transportation scenarios involving Chongqing Public Transport, helping move the innovation from laboratory research to practical road applications.

In the future, Chongqing Public Transport will leverage the city’s complex mountainous terrain and strong transit system to expand real-world AI applications in buses, advancing intelligent transportation and autonomous driving for safer and more efficient mobility on winding urban roads.

(Yilin Luo, as an intern, also contributed to the report.)