An Optimization Method of Train Scheduling for Urban Rapid Rail Transit Based on Flexible Train Composition Mode

被引：0
|
作者：
Tai G.-X. [1 ]
Huang Y.-N. [1 ,2 ]
Li C.-C. [1 ]
Wang X. [1 ,2 ]
机构：
[1] School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing
[2] National Engineering Research Center of Rail Transit Operation Control System, Beijing Jiaotong University, Beijing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2023年 / 23卷 / 03期
基金：
中国国家自然科学基金;
关键词：
flexible train composition mode; railway transportation; three-phase solution algorithm; train scheduling optimization; urban rapid rail transit;
D O I：
10.16097/j.cnki.1009-6744.2023.03.021
中图分类号：
学科分类号：
摘要：
The spatial-temporal distribution of passenger demand in urban rapid rail transit is generally unbalanced due to long mileage and periodic operation of mass transit. This paper proposes an optimization method of train scheduling for urban rapid rail transit based on flexible train composition mode. First, the train operation scenario based on the proposed flexible train composition mode is described. Then, an optimization model of train scheduling for urban rapid rail transit based on flexible train composition mode is established to minimize the average passenger waiting time and the car kilometers. The model takes the arrival and departure time of trains at each station and the flexible train composition plan including the selection of train types in each section of the transit line as the decision variables. And a three-phase algorithm is designed to solve the model. The actual data of an urban rapid rail transit line is taken for the case study. The results indicate that compared with the regular timetable and fixed train composition mode, the timetable based on flexible train composition mode can reduce the average passenger waiting time by 14.80% and the car kilometers by 41.09%, hich has been proved to be an effective operation strategy to deal with the unbalanced passenger demand of urban rapid rail transit. © 2023 Science Press. All rights reserved.
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页码：195 / 203
页数：8
相关论文
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