• DocumentCode
    2065883
  • Title

    The real-time dispatch methods for urban rail transportation

  • Author

    Zhao, Shuzhi ; Cao, Yang ; Tian, Qingfei

  • Author_Institution
    Transp. Plan & Manage. Dept., Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    12
  • Lastpage
    15
  • Abstract
    This paper analyzes the real-time dispatch for urban rail transportation and puts forward a customized gathering and processing method for the passenger flow data. Obtain the unidirectional real-time non-uniform departure time-table, which will act as the basis of the train dispatch, by building a model with the departure interval as the model´s variable, the maximum departure interval as the aim, considering the minimum departure interval, the maximum accepted waiting time and the limit of carriage capacity. After testing by examples, the real-time dispatch model is absolutely effective. In addition, this model can be solved simply, and is convenient for the computer programming. It makes the real-time dynamic dispatch for urban rail transportation possible combining with the existing techniques and equipment.
  • Keywords
    dispatching; railways; real-time systems; scheduling; carriage capacity; computer programming; maximum accepted waiting time; maximum departure interval; minimum departure interval; passenger flow data; real-time dispatch methods; train dispatch; unidirectional real-time nonuniform departure time-table; urban rail transportation; Data models; Dynamic scheduling; Rail transportation; Real time systems; Vehicle dynamics; Vehicles; real-time dispatch method; timeline OD (TOD); travel destination of passengers; urban rail transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199136
  • Filename
    6199136