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Discrete Dynamics in Nature and Society
Volume 2013 (2013), Article ID 156548, 9 pages
http://dx.doi.org/10.1155/2013/156548
Review Article

A Review Study on Traction Energy Saving of Rail Transport

MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, No. 3 Shangyuancun, Haidian District, Beijing 100044, China

Received 4 July 2013; Revised 3 August 2013; Accepted 21 August 2013

Academic Editor: Wuhong Wang

Copyright © 2013 Xuesong Feng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • María Domínguez, Antonio Fernández-Cardador, Asunción P. Cucala, Tad Gonsalves, and Adrián Fernández, “Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines,” Engineering Applications of Artificial Intelligence, vol. 29, pp. 43–53, 2014. View at Publisher · View at Google Scholar
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  • Andreas Bärmann, Alexander Martin, and Oskar Schneider, “A comparison of performance metrics for balancing the power consumption of trains in a railway network by slight timetable adaptation,” Public Transport, 2017. View at Publisher · View at Google Scholar
  • Gerben M. Scheepmaker, Rob M.P. Goverde, and Leo G. Kroon, “Review of energy-efficient train control and timetabling,” European Journal of Operational Research, vol. 257, no. 2, pp. 355–376, 2017. View at Publisher · View at Google Scholar
  • Adrián Fernández-Rodríguez, Antonio Fernández-Cardador, and Asunción P. Cucala, “Real time eco-driving of high speed trains by simulation-based dynamic multi-objective optimization,” Simulation Modelling Practice and Theory, vol. 84, pp. 50–68, 2018. View at Publisher · View at Google Scholar