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

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

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.

Key words: urban rail transit, passenger flow prediction, passenger flow control, model predictive control, Anylogic

CLC Number:

TP391.9

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.

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