Table of Contents Author Guidelines Submit a Manuscript
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 [10 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
  • Li Wang, Tao Zhu, Jie Xu, Lei Jin, and Yong Qin, “Bi-level programming model on passenger train operation in emergency,” Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), vol. 45, no. 5, pp. 996–1001, 2015. View at Publisher · View at Google Scholar
  • Wei Fang, Shengxiang Yang, and Xin Yao, “A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 6, pp. 2997–3016, 2015. View at Publisher · View at Google Scholar
  • Linmin Hu, Dequan Yue, and Ruiling Tian, “Fuzzy Availability Assessment for a Repairable Multistate Series-Parallel System,” Discrete Dynamics in Nature and Society, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Yuyan Tan, and Zhibin Jiang, “A Branch and Bound Algorithm and Iterative Reordering Strategies for Inserting Additional Trains in Real Time: A Case Study in Germany,” Mathematical Problems in Engineering, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Enrique Castillo, Zacarías Grande, Paola Moraga, and Jesús Sánchez-Vizcaíno, “A Time Partitioning Technique for Railway Line Design and Timetable Optimization,” Computer-Aided Civil and Infrastructure Engineering, vol. 31, no. 8, pp. 599–616, 2016. View at Publisher · View at Google Scholar
  • Paulina Avila-Torres, Rafael Caballero, Igor Litvinchev, Fernando Lopez-Irarragorri, and Pandian Vasant, “The urban transport planning with uncertainty in demand and travel time: a comparison of two defuzzification methods,” Journal of Ambient Intelligence and Humanized Computing, 2017. View at Publisher · View at Google Scholar