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Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 827073, 22 pages
http://dx.doi.org/10.1155/2012/827073
Research Article

A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling

1State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
2School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Received 19 September 2012; Revised 19 November 2012; Accepted 21 November 2012

Academic Editor: Wuhong Wang

Copyright © 2012 Li Wang 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 [4 citations]

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

  • C. Sicre, A.P. Cucala, and A. Fernández-Cardador, “Real time regulation of efficient driving of high speed trains based on a genetic algorithm and a fuzzy model of manual driving,” Engineering Applications of Artificial Intelligence, 2013. View at Publisher · View at Google Scholar
  • William Carvajal-Carreño, Asunción P. Cucala, and Antonio Fernández-Cardador, “Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters,” Engineering Applications of Artificial Intelligence, vol. 36, pp. 164–177, 2014. View at Publisher · View at Google Scholar
  • Qizhou Hu, Ningbo Gao, and Bing Zhang, “High Speed Railway Environment Safety Evaluation Based on Measurement Attribute Recognition Model,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Li Wang, Wenting Mo, Yong Qin, Fei Dou, and Limin Jia, “Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction,” Discrete Dynamics in Nature and Society, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar