Integrated optimization model on maintenance time window and train timetabling

Conference Paper (2018)
Author(s)

Lingyun Meng (Beijing Jiaotong University)

Ce Mu (Beijing Jiaotong University)

Xin Hong (Beijing Jiaotong University)

Ran Chen (Beijing Jiaotong University)

Xiaojie Luan (TU Delft - Mechanical Engineering)

Tao Ma (China Railway Shenyang Group Company)

Research Group
Transport Engineering and Logistics
DOI related publication
https://doi.org/10.1007/978-981-10-7989-4_87 Final published version
More Info
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Publication Year
2018
Language
English
Research Group
Transport Engineering and Logistics
Pages (from-to)
861-872
Publisher
Springer
ISBN (print)
9789811079887
Event
EITRT 2017: 3rd International Conference on Electrical and Information Technologies for Rail Transportation (2017-10-20 - 2017-10-22), Changsha, China
Downloads counter
279

Abstract

Most of previous studies optimize maintenance time window scheduling problem under a given train schedule, leading to a relatively poor quality of maintenance time window schedule, increasing the influence on traffic assignment. In order to reduce the negative effects on maintenance schedule and improve the utilization of railway resources, we consider integrating maintenance time window scheduling and train timetabling. In this way, more reasonable maintenance time window schedule can be obtained. We propose a mixed integer programming model and in particular we focus on the characteristics of the problem, including the speed limits affected by maintenance tasks on a double-track railway line. The benefits of the proposed integrated optimization model are demonstrated by numerical experiments.