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Coupling analysis of passenger and train flows for a large-scale urban rail transit system
某大型城市轨道交通系统客车流耦合分析
大規模な都市鉄道輸送システムの乗客と列車の流れの結合分析
대규모 도시철도 교통시스템에 대한 여객과 열차의 연계해석
Análisis de acoplamiento de los flujos de pasajeros y trenes para un sistema de tránsito ferroviario urbano a gran escala
Analyse de couplage des flux de voyageurs et de trains pour un système de transport ferroviaire urbain à grande échelle
Совмещенный анализ пассажиро- и поездопотоков для крупномасштабной системы городского железнодорожного транспорта
Ping ZHANG 张萍 ¹, Xin YANG 杨欣 ¹, Jianjun WU 吴建军 ¹, Huijun SUN 孙会君 ¹, Yun WEI 魏运 ², Ziyou GAO 高自友 ¹
¹ State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
中国 北京 北京交通大学 轨道交通控制与安全国家重点实验室
² Beijing Mass Transit Railway Operation Corp. Ltd., Beijing 100044, China
中国 北京 北京市轨道交通运营管理有限公司
Frontiers of Engineering Management, 10 January 2022
Abstract

Coupling analysis of passenger and train flows is an important approach in evaluating and optimizing the operation efficiency of large-scale urban rail transit (URT) systems. This study proposes a passenger–train interaction simulation approach to determine the coupling relationship between passenger and train flows.

On the bases of time-varying origin–destination demand, train timetable, and network topology, the proposed approach can restore passenger behaviors in URT systems. Upstream priority, queuing process with first-in-first-serve principle, and capacity constraints are considered in the proposed simulation mechanism.

This approach can also obtain each passenger’s complete travel chain, which can be used to analyze (including but not limited to) various indicators discussed in this research to effectively support train schedule optimization and capacity evaluation for urban rail managers. Lastly, the proposed model and its potential application are demonstrated via numerical experiments using real-world data from the Beijing URT system (i.e., rail network with the world’s highest passenger ridership).
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