Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

Optimal Train-speed Curve Based on Cooperative Train

Authors
Jiannan Jia, Pei Liu
Corresponding Author
Jiannan Jia
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.19How to use a DOI?
Keywords
Train-speed curve optimation; Multi-vehicle collaborative; Energy efficiency; Travel time; Genetic algorithm
Abstract

This paper focuses on studying the problem of train-speed curve in railway transportation system. Different from the previous study, the characteristic of this paper is to optimize the train-speed curve by selecting the gear sequence and the switching locations. In the case of multi-vehicle cooperation, considering the energy efficiency and service quality, this paper formulates a train-speed curve optimization model to minimize the energy consumption and travel time. Then the genetic algorithm is used to optimize the train-speed curve and the obtain optimal control strategies of the train under different departure intervals.

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 Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-217-6
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.19How 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  - Jiannan Jia
AU  - Pei Liu
PY  - 2016/07
DA  - 2016/07
TI  - Optimal Train-speed Curve Based on Cooperative Train
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 98
EP  - 104
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.19
DO  - 10.2991/icsnce-16.2016.19
ID  - Jia2016/07
ER  -