Integrated Rolling Stock Scheduling and Maintenance Scheduling Optimization of Urban Rail Transit Lines Based on Shared Train Depot

被引：0

作者：

Feng J. ^{[1
]}

Li G.-W. ^{[1
]}

Fu Y.-L. ^{[2
]}

Peng C. ^{[1
]}

Wu Y.-H. ^{[1
]}

机构：

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

[2] Beijing Urban Construction Group Co. Ltd., Beijing

来源：

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2023年 / 23卷 / 01期

基金：

中国国家自然科学基金;

关键词：

maintenance plan; mixed integer linear programming; railway transportation; rolling stock scheduling plan; shared depot;

D O I：

10.16097/j.cnki.1009-6744.2023.01.015

中图分类号：

学科分类号：

摘要：

A scientific rolling stock plan contributes to smooth and energy-efficient operation of rail transit. This study integrates the rolling stock scheduling and the maintenance plan of urban rail transit with multi-lines and multi-depots, including a shared depot in the infrastructure network. The integrated problem of rolling stock scheduling and maintenance plan for urban rail transit are established and the aims are reducing the operational and maintenance costs of rolling stock. The mixed integer linear programming model is developed to simultaneously optimize rolling stock and maintenance plan, in consideration of the constraints of rolling stock connection, maintenance and depot capacity. The hybrid heuristic algorithm is used to solve the proposed model and create the strategy to select the rolling stocks with high requirement of maintenance. The numerical experiments were performed in a metro line of China, and the results indicate that the total operating cost of the optimization model under the network operation condition is reduced by 8.1% compared with the single line operation condition. The reasonable allocation of rolling stock can be achieved by using appropriate inspection frequency and maintenance resource arrangement. © 2023 Science Press. All rights reserved.

引用

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页码：131 / 140

页数：9

共 11 条

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