Simulation-Based Genetic Algorithm towards an Energy-Efficient Railway Traffic Control
Joint Authors
Tuyttens, Daniel
Fei, Hongying
Mezmaz, Mohand
Jalwan, Jad
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The real-time traffic control has an important impact on the efficiency of the energy utilization in the modern railway network.
This study is aimed to develop an energy-efficient railway traffic control solution for any specified railway.
In other words, it is expected to define suitable driving profiles for all the trains running within a specified period through the targeted network with an objective to minimize their total energy consumption.
How to optimize the train synchronization so as to benefit from the energy regenerated by electronic braking is also considered in this study.
A method based on genetic algorithm and empirical single train driving strategies is developed for this objective.
Six monomode strategies and one multimode strategy are tested and compared with the four scenarios extracted from the Belgian railway system.
The results obtained by simulation show that the multi-mode control strategy overcomes the mono-mode control strategies with regard to global energy consumption, while there is no firm relation between the utilization rate of energy regenerated by dynamic braking operations and the reduction of total energy consumption.
American Psychological Association (APA)
Tuyttens, Daniel& Fei, Hongying& Mezmaz, Mohand& Jalwan, Jad. 2013. Simulation-Based Genetic Algorithm towards an Energy-Efficient Railway Traffic Control. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1010784
Modern Language Association (MLA)
Tuyttens, Daniel…[et al.]. Simulation-Based Genetic Algorithm towards an Energy-Efficient Railway Traffic Control. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1010784
American Medical Association (AMA)
Tuyttens, Daniel& Fei, Hongying& Mezmaz, Mohand& Jalwan, Jad. Simulation-Based Genetic Algorithm towards an Energy-Efficient Railway Traffic Control. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1010784
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010784