Collaborative Optimization of Railway Timetable and Capacity Considering Customized Trains

被引:0
|
作者
Li X.-J. [1 ]
Shi J.-N. [2 ]
Li D.-W. [3 ]
Yan Z.-Y. [1 ]
机构
[1] College of Traffic, Inner Mongolia University, Hohhot
[2] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[3] School of Traffic and Transportation, Beijing Jiaotong University, Beijing
基金
中国国家自然科学基金;
关键词
Capacity; Collaborative optimization; Customized trains; Railway transportation; Timetable;
D O I
10.16097/j.cnki.1009-6744.2021.01.015
中图分类号
学科分类号
摘要
Based on survey data, this paper proposes the passenger's travel probability function for different time periods and analyzes passenger's specific needs for customized trains such as the expected operation time and the type of seats. An alternative set of customized trains was established with the constraints of demand, stop and operation time. Then a bi-level collaborative optimization model was developed to maximize the enterprise profits while keep the remaining available capacity as the maximum when adding customized trains. The particle swarm optimization algorithm was used to solve the model. Then, a timetable was obtained with the consideration of the customized trains and the adjustment cost and capacity utilization of existing trains. The Hohhot-Wuhai railway line in Inner Mongolia, China was analyzed as an example. It was found that the operation of customized trains is affected by the adjustment cost of existing trains. The operation of customized trains also affects the overall layout of timetable and remaining available capacity of trains. Copyright © 2021 by Science Press.
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页码:95 / 100and123
相关论文
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