• DocumentCode
    663288
  • Title

    A review of online dynamic models and algorithms for railway traffic control

  • Author

    Corman, Francesco ; Lingyun Meng

  • Author_Institution
    Transp. Eng. & Logistics Sect., Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2013
  • fDate
    Aug. 30 2013-Sept. 1 2013
  • Firstpage
    128
  • Lastpage
    133
  • Abstract
    We present a survey of the recent approaches on railway transportation problems, that exhibit dynamic and stochastic (or, at least, not completely deterministic) aspects. In fact, while deterministic and static (or single-shot) systems have reached a wide degree of dissemination, much is still to be done with regard to the online nature of the railway problems; and how to best take into account for uncertainty. We review approaches for four dynamic interrelated problems such as train path rescheduling (called also dispatching, rescheduling, disposition), crew rescheduling, rolling stock rescheduling, and the issue of determining updated passenger connection plans (delay management). Open challenges for the research are outlined.
  • Keywords
    railway rolling stock; railways; scheduling; crew rescheduling; deterministic systems; interrelated problems; online dynamic models; railway traffic control; railway transportation problems; rolling stock rescheduling; static systems; train path rescheduling; updated passenger connection plans; Delays; Dispatching; Linear programming; Optimization; Rail transportation; Vehicle dynamics; Vehicles; crew scheduling; delay management; dispatching; model predictive control; rolling stock scheduling; train disposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Rail Transportation (ICIRT), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-5278-9
  • Type

    conf

  • DOI
    10.1109/ICIRT.2013.6696281
  • Filename
    6696281