Traffic Signal Optimization Software
Project ImageSingle Intersection Control: Implements Markov decision processes (MDP) to dynamically adjust green signal durations based on traffic conditions.
Arterial Road Optimization: Introduces green wave synchronization for multiple intersections to improve flow efficiency.
Network-Level Control: Applies centralized and distributed predictive algorithms to optimize signal timing across large networks.
Key Metrics: Focuses on reducing vehicle queues, delays, and stops while maximizing road throughput.
User Interface: Features intuitive dashboards for real-time data visualization and optimization output.
Yunwen XU
Associate Professor
Yunwen Xu is an Associate Professor at the Department of Automation, Shanghai Jiao Tong University. She earned her Ph.D. and M.S. in Control Science and Engineering from Shanghai Jiao Tong University and her B.S. in Automation from Nanjing University of Science and Technology. She was a visiting scholar at Purdue University and has held postdoctoral and research positions at Shanghai Jiao Tong University. Her research focuses on predictive control applications, intelligent transportation systems, robot control, embedded predictive control, and intelligent control of complex systems. She has published extensively in top journals and conferences and has been involved in several significant research projects.