Optimization models for high-speed train unit routing problems

Journal Article (2019)
Author(s)

Ying Wang (Beijing Jiaotong University)

Yuan Gao (Beijing Jiaotong University)

Xiaoyuan Yu (Beijing Jiaotong University)

Ingo Arne Hansen (TU Delft - Transport and Planning)

Jianrui Miao (Beijing Jiaotong University)

Transport and Planning
Copyright
© 2019 Ying Wang, Yuan Gao, Xiaoyuan Yu, I.A. Hansen, Jianrui Miao
DOI related publication
https://doi.org/10.1016/j.cie.2018.02.039
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Ying Wang, Yuan Gao, Xiaoyuan Yu, I.A. Hansen, Jianrui Miao
Transport and Planning
Volume number
127
Pages (from-to)
1273-1281
Reuse Rights

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Abstract

Train unit routing problem determines the number of train units needed to carry out involved trips, which is a significant part of railway operation cost. In this paper, we focus on high-speed train unit routing problems, in which maintenance resource constraints both on time and distance are taken into account. Based on a connection network, this paper first proposes a general train unit routing model. Then, the general model is specialized to meet the circulation and maintenance conditions of high-speed train units in China, which is based on a special connection network with a two-day time horizon. A strategy is proposed to reduce the scale of the connection network, which improves the model's solvability. Furthermore, an extension on multi-depot train unit routing problem is discussed. Finally, numerical experiments based on the real data of Chinese high-speed railway are carried out to verify the effectiveness and efficiency of the proposed mode and method.

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