Coupling analysis of passenger and train flows for a large-scale urban rail transit system

作     者：Ping ZHANG Xin YANG Jianjun WU Huijun SUN Yun WEI Ziyou GAO Ping ZHANG;Xin YANG;Jianjun WU;Huijun SUN;Yun WEI;Ziyou GAO

作者机构：State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijing 100044China Beijing Mass Transit Railway Operation Corp.Ltd.Beijing 100044China 

出 版 物：《Frontiers of Engineering Management》 (工程管理前沿（英文版）)

年 卷 期：2023年第10卷第2期

页      面：250-261页

核心收录：

学科分类：12[管理学] 0202[经济学-应用经济学] 02[经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 020205[经济学-产业经济学] 08[工学] 082303[工学-交通运输规划与管理] 0823[工学-交通运输工程] 

基　　金：This research was supported by the National Key R&D Program of China(Grant No.2020YFB1600702) the National Natural Science Foundation of China(Grant Nos.71621001,72071015,71701013,and 71890972/71890970) the Beijing Municipal Natural Science Foundation(Grant No.L191024) the 111 Project(Grant No.B20071) the State Key Laboratory of Rail Traffic Control and Safety(Grant No.RCS2021ZZ001) 

主　　题：urban rail transit coupling analysis passenger–train interaction large-scale simulation 

摘      要：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)*** study proposes a passenger–train interaction simulation approach to determine the coupling relationship between passenger and train *** the bases of time-varying origin–destination demand,train timetable,and network topology,the proposed approach can restore passenger behaviors in URT *** priority,queuing process with first-in-first-serve principle,and capacity constraints are considered in the proposed simulation *** 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 ***,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).