Robust optimal predictive perimeter control for multiple urban regions based on macroscopic fundamental diagram

被引:0
|
作者
Chen, Wangyan [1 ]
Zhang, Huimin [1 ]
Yuan, Yin [1 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
关键词
Model Predictive Control; Robust Optimization; Macroscopic Fundamental Diagram; Urban Regions;
D O I
10.1109/CCDC52312.2021.9601437
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The robust optimal predictive perimeter control for multiple urban regions is investigated in this paper based on a macroscopic fundamental diagram(MFD), which incorporates the uncertainty of the parameters in MFD. The goal of the formulated robust optimal control problem is to adjust the accumulate states to the desired states and to ensure the robustness of the system, so as to reduce the traffic congestion. A real-time algorithm under the robust model predictive control(MPC) scheme is proposed to solve the problem. Then, numerical examples are conducted in the paper to illustrate the practicality and robustness of the model, which can provide a useful and robust way to ensure the desired states in the MFD system.
引用
收藏
页码:5792 / 5797
页数:6
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