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Journal of Applied Mathematics
Volume 2014, Article ID 507308, 7 pages
http://dx.doi.org/10.1155/2014/507308
Research Article

Optimization of High-Speed Train Control Strategy for Traction Energy Saving Using an Improved Genetic Algorithm

1College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
2Service Science Research Center, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201203, China

Received 27 March 2014; Accepted 9 April 2014; Published 4 May 2014

Academic Editor: Young-Sik Jeong

Copyright © 2014 Ruidan Su 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 [6 citations]

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

  • Yongduan Song, and Wenting Song, “A Novel Dual Speed-Curve Optimization Based Approach for Energy-Saving Operation of High-Speed Trains,” IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 6, pp. 1564–1575, 2016. View at Publisher · View at Google Scholar
  • Yan Zhao, Xi Wang, and Tao Tang, “Fuzzy Constrained Predictive Optimal Control of High Speed Train with Actuator Dynamics,” Discrete Dynamics in Nature and Society, vol. 2016, 2016. View at Publisher · View at Google Scholar
  • M. Saadat, M. Esfahanian, and M. H. Saket, “Longitudinal dynamics and energy flow modelling for diesel-electric locomotives,” International Journal Of Heavy Vehicle Systems, vol. 23, no. 2, pp. 155–170, 2016. View at Publisher · View at Google Scholar
  • Jidong Lv, Ning Zhao, Lei Chen, Zhongbei Tian, Clive Roberts, and Stuart Hillmansen, “Field test of train trajectory optimisation on a metro line,” IET Intelligent Transport Systems, vol. 11, no. 5, pp. 273–281, 2017. View at Publisher · View at Google Scholar
  • Xi Wang, and Tao Tang, “Optimal operation of high-speed train based on fuzzy model predictive control,” Advances in Mechanical Engineering, vol. 9, no. 3, 2017. View at Publisher · View at Google Scholar
  • H. K. Hetman, and S. L. Marikutsa, “Selection Of Rational Parameters Of The Nominal Mode Of Electric Locomotives,” Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 1(67), pp. 96–105, 2017. View at Publisher · View at Google Scholar