Tracking perimeter control for two-region macroscopic traffic dynamics: An adaptive dynamic programming approach
Published in 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024), Edmonton, Canada, 2024
Considering the time-varying nature of the travel demand pattern and the equilibrium of the accumulation state, we reformulate the conventional set-point perimeter control (SPC) problem for the two-region MFD system into an optimal tracking perimeter control problem (OTPCP). Unlike the SPC schemes that stabilize the traffic dynamics to the desired equilibrium point, the proposed tracking perimeter control (TPC) scheme will regulate the traffic dynamics to a desired trajectory in a differential framework.
Recommended citation: Can Chen, Yunping Huang, Hongwei Zhang, Shu-Chien Hsu, Renxin Zhong (2024). "Tracking perimeter control for two-region macroscopic traffic dynamics: An adaptive dynamic programming approach." 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024), Edmonton, Canada. 0(0).