Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

2015 4th International Conference on Sensors, Measurement and Intelligent Materials

📍Shenzhen, China🗓️ 27-28 December 2015

Modelling the Track Allocation Problem in Railway Stations

Authors
Wei Liu, Xiaoning Zhu, Liujiang Kang
Corresponding Author
Wei Liu
Available Online January 2016.
DOI
10.2991/icsmim-15.2016.181How to use a DOI?
Keywords
Railway, Track allocation problem, Bottleneck section, Stochastic schedule, Simulated annealing algorithm.
Abstract

Track allocation problem in railway stations with stochastic viewpoint is a crucial part of the planning processes for railway companies. This paper proposes a stochastic schedule based optimization model to solve the station track allocation problem that considers minimum occupation time of station reception-departure lines. The stochastic schedule consists of the average and variance of train arrival times and departure times, respectively. Owning to the NP-Completeness of the problem, a simulated annealing algorithm is designed to solve the mathematical programming model.

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 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
10.2991/icsmim-15.2016.181How 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 Liu
AU  - Xiaoning Zhu
AU  - Liujiang Kang
PY  - 2016/01
DA  - 2016/01
TI  - Modelling the Track Allocation Problem in Railway Stations
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 986
EP  - 990
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.181
DO  - 10.2991/icsmim-15.2016.181
ID  - Liu2016/01
ER  -