Predictive Control Method of Peak Hour Passenger Flow at Urban Rail Station

Authors

Xiaohe Li, Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
Jianping Wu, Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
Depin Peng, Department of Civil Engineering, Tsinghua University, Beijing 100084, China;

Abstract

Abstract: With the rapid development of subway in China, the urban rail station, especially the transfer station, is prone to generate passenger congestion in the peak period. After analyzing the types of passenger flow in and out of the platform, a predictive control model of passenger flow is established based on the discrete linear quadratic optimal control theory. Taking Fuxingmen Station as an example, the simulation environment of the station is built by using the simulation software of Anylogic. The historical passenger flow data in peak period and the optimal passenger flow control sequence obtained by solving the passenger flow predictive control model are introduced into the simulation environment. The feasibility of the model and the rationality of the passenger flow control method are verified by the output passenger flow data obtained from the simulation.

Recommended Citation

Li, Xiaohe; Wu, Jianping; and Peng, Depin (2022) "Predictive Control Method of Peak Hour Passenger Flow at Urban Rail Station," Journal of System Simulation: Vol. 33: Iss. 12, Article 19.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0814
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss12/19

First Page

2952

Revised Date

2021-08-17

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-FZ0814

Last Page

2958

CLC

TP391.9

Recommended Citation

Li Xiaohe, Wu Jianping, Peng Depin. Predictive Control Method of Peak Hour Passenger Flow at Urban Rail Station[J]. Journal of System Simulation, 2021, 33(12): 2952-2958.

Corresponding Author

Depin Peng,

DOI

10.16182/j.issn1004731x.joss.21-FZ0814