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

Modelling the Track Allocation Problem in Railway Stations

Authors
Wei Liu, Xiaoning Zhu, Liujiang Kang
Corresponding Author
Wei Liu
Available Online January 2016.
DOI
https://doi.org/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
https://doi.org/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  - https://doi.org/10.2991/icsmim-15.2016.181
ID  - Liu2016/01
ER  -