Proceedings of the 2016 International Conference on Civil, Transportation and Environment

A Method for Optimizing Train Diagram of High-speed Railway with Soft Time-window

Authors
Wei Zeng, Xingchen Zhang, Xinmiao Zhao
Corresponding Author
Wei Zeng
Available Online January 2016.
DOI
10.2991/iccte-16.2016.78How to use a DOI?
Keywords
High-speed railway; Soft time-window; Conflict resolution; Simulated annealing algorithm
Abstract

This paper studies optimization of train diagram with different speed of high-speed railways, and introduces soft time window to construct the optimization model of train diagram, aiming at minimizing the difference between the arrival and departure time of the trains and the expectation of passengers with the constraints of reasonable overtakes. A global optimization heuristic algorithm is designed with the combination of strategies on conflict resolution of the lines and simulated annealing, and the case study proves the effectiveness of the optimization method and shows the convergence of the algorithm.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Civil, Transportation and Environment
Series
Advances in Engineering Research
Publication Date
January 2016
ISBN
978-94-6252-185-8
ISSN
2352-5401
DOI
10.2991/iccte-16.2016.78How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wei Zeng
AU  - Xingchen Zhang
AU  - Xinmiao Zhao
PY  - 2016/01
DA  - 2016/01
TI  - A Method for Optimizing Train Diagram of High-speed Railway with Soft Time-window
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 466
EP  - 471
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.78
DO  - 10.2991/iccte-16.2016.78
ID  - Zeng2016/01
ER  -