Passenger Flow Control Strategy of Urban Rail Transit Based on Multi-Agent Simulation

Abstract:

Aimed at the transportation efficiency problem of oversaturated passenger flow of urban rail transit lines during peak hours， a multi-agent simulation model of passenger flow control for urban rail transit with the goal of maximizing passenger turnover is established based on the network topology of subway lines and the passenger flow demand matrix. Based on the AnyLogic software， the model reconstructs the urban rail transit system by constructing four types of agents： train， line， road network， and passenger， which realizes several passenger flow control methods， including boarding control， platform control， and gates control. In addition， a full-line coordinated passenger flow control strategy in multi stations of a single line in urban rail transit is proposed. Moreover， a passenger flow control experiment is conducted on a subway line with a scale of 23 stations and 122 933 passenger OD pairs， which increases the total passenger turnover by 1.01%.