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

被引：0

作者：

Lu G. ^{[1
,2
]}

Lei Y. ^{[1
,2
]}

Zhang H. ^{[1
,2
]}

机构：

[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu

[2] National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu

来源：

Tongji Daxue Xuebao/Journal of Tongji University | 2022年 / 50卷 / 08期

关键词：

Anylogic; full-line coordination; multi-agent simulation model; oversaturated passenger flow; passenger flow control;

D O I：

10.11908/j.issn.0253-374x.21135

中图分类号：

学科分类号：

摘要：

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%. © 2022 Science Press. All rights reserved.

引用

页码：1189 / 1197

页数：8

共 9 条

[1] YAO Xiangming, ZHAO Peng, QIAO Ke, Et al., Modeling on coordinated passenger inflow control for urban rail transit network［J］, Journal of Central South University（Science and Technology）, 46, 1, (2015)
[2] JIANG Man, Coordination control of passenger flow in multi stations of a single line in urban rail transit, (2016)
[3] MENG F, YANG L, YUN W, Et al., Collaborative passenger flow control on an oversaturated metro line: a path choice approach［J］, Transportmetrica B: Transport Dynamics, 8, 1, (2020)
[4] SHI J, YANG L, YANG J, Et al., Service-oriented train timetabling with collaborative passenger flow control on an oversaturated metro line: an integer linear optimization approach ［J］, Transportation Research Part B, 2, (2018)
[5] LU Gongyuan, MA Si, WANG Kun, Et al., Integer programming model of passenger flow assignment for congested urban rail lines［J］, Journal of Southwest Jiaotong University, 52, 2, (2017)
[6] LI Denghui, PENG Qiyuan, LU Gongyuan, Et al., Control method for passenger inflow control with coordination on urban rail transit line in peak hours［J］, Journal of Transportation Systems Engineering and Information Technology, 19, 6, (2019)
[7] ZHAO Peng, YAO Xiangming, YU Dandan, Cooperative passenger inflow control of urban mass transit in peak hours［J］, Journal of Tongji University（Natural Science）, 42, 9, (2014)
[8] JIANG Qiwei, CAI Shi, CHEN Weiya, Et al., Passenger flow control decision-making method of urban rail transit station［J］, Systems Engineering, 35, 9, (2017)
[9] ZHANG Yongsheng, YAO Enjian, LIU Shasha, Et al., Passengers’spsl route choice model in a large scaled metro network［J］, China Railway Science, 37, 5, (2016)

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