• DocumentCode
    2005082
  • Title

    Re-scheduling in railway networks

  • Author

    Wei Fang ; Jun Sun ; Xiaojun Wu ; Xin Yao

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Jiangnan Univ., Wuxi, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    342
  • Lastpage
    352
  • Abstract
    Railway transport is one of the convenient public transports, known for its safety, reliability of service, and punctuality. Railway networks, as an important part of railway infrastructure, have been extended in the scale and complexity to meet constantly increasing demand of passengers and goods transports. Since railway networks face disturbances more frequently than before as a result of severe weather conditions, signal faults, and increased demand etc., highly efficient re-scheduling approaches are needed to help train dispatchers to re-schedule trains. Many re-scheduling approaches in railway networks have been proposed considering different disturbances scenarios. These approaches are classified by their characteristics and reviewed in detail in this paper. Since re-scheduling problem is usually formulated by different models in the literature, these models are also reviewed along with the approaches. Conclusions and future work on the re-scheduling approaches are given at the end.
  • Keywords
    evolutionary computation; expert systems; heuristic programming; integer programming; linear programming; rail traffic; scheduling; goods transports; passenger demand; punctuality; railway infrastructure; railway networks re-scheduling; railway safety; railway service reliability; railway transport; re-scheduling problem; Delays; Heuristic algorithms; IP networks; Junctions; Rail transportation; Real-time systems; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence (UKCI), 2013 13th UK Workshop on
  • Conference_Location
    Guildford
  • Print_ISBN
    978-1-4799-1566-8
  • Type

    conf

  • DOI
    10.1109/UKCI.2013.6651326
  • Filename
    6651326