3 papers
physics.soc-ph2025
Calibration and uncertainty quantification of macroscopic fundamental diagrams
Wenfei Ma, Yunping Huang, Nan Zheng +2
Traffic congestion occurs as travel demand exceeds network capacity, necessitating a thorough understanding of network capacity for effective traffic control and management. The ma…
eess.SY2025
Learning-Based Tracking Perimeter Control for Two-region Macroscopic Traffic Dynamics
Can Chen, Yunping Huang, Hongwei Zhang +4
Leveraging the concept of the macroscopic fundamental diagram (MFD), perimeter control can alleviate network-level congestion by identifying critical intersections and regulating t…
eess.SY2022
Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics
C. Chen, Y. P. Huang, W. H. K. Lam +4
Existing data-driven and feedback traffic control strategies do not consider the heterogeneity of real-time data measurements. Besides, traditional reinforcement learning (RL) meth…