Large-scale Traffic Network Control
Hierarchical Structure:
Upper Level: Balances traffic flow between regions to prevent oversaturation.
Lower Level: Focuses on localized signal timing optimization for intersections.Lower Level：
Model-Based Control: Utilizes MFD (Macroscopic Fundamental Diagram) to regulate traffic flow and maintain stability below critical density.
Scalable Application: Ensures efficient coordination of traffic across subregions, enhancing overall network performance.
Simulation Results: Demonstrates improved flow rates and reduced travel times in test scenarios.
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.