Collaborative Optimization of Train Timetable and Passenger Flow Control Strategy for Urban Rail Transit

被引：0

作者：

Lu Y.-H. ^{[1
,2
]}

Yang L.-X. ^{[1
]}

Meng F.-T. ^{[1
,2
]}

Xia D.-Y. ^{[2
,3
]}

Qi J.-G. ^{[1
]}

机构：

[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing

[2] School of Traffic and Transportation, Beijing Jiaotong University, Beijing

[3] Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing

来源：

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2021年 / 21卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Integer linear programming; Passenger flow control; Train timetable; Transfer in passenger flow; Urban traffic;

D O I：

10.16097/j.cnki.1009-6744.2021.06.022

中图分类号：

学科分类号：

摘要：

Considering the continuous arrival characteristics of outside arrival passenger flow and the impulsive feature of transferring passengers, this paper investigates the metro train timetabling and passenger flow control strategy under the influence of transferring passengers. This paper formulates an integer nonlinear collaborative optimization model for the metro train timetabling and passenger flow control strategy, which aims to minimize the number of detained passengers. The proposed model is reformulated into an integer linear programming model by introducing the 0-1 decision variables. A case study of a real-world urban rail transit line is performed to verify the effectiveness of the proposed approach, which is solved by the CPLEX software. The results reveal that, the proposed approach has good optimization quality and computational efficiency. Compared to the plan only optimize timetables, the obtained plan reduced the number of detained passengers by 17.69% and the service level was significantly improved. This study provides theoretical support for the high-quality operation of the urban rail transit system. Copyright © 2021 by Science Press.

引用

页码：195 / 202

页数：7

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