• DocumentCode
    2066985
  • Title

    A urban rail transport network carrying capacity calculation method based on the logit model

  • Author

    Shuai, Hu ; Haiying, Li

  • Author_Institution
    Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    191
  • Lastpage
    194
  • Abstract
    This study proposed the definition of carrying capacity of rail network, and presents a method to calculate the networked railway carrying capacity. The main idea of this method is that, given the total initial send amount of the network, we increase an incremental to it each time, then obtained the OD matrix based on the OD distribution rate, and allocate the incremental passenger flow to each section of the network by using the Logit Model. So we can find the section which has the largest traffic in each line, determine whether it satisfies the limit of the departure interval and the load factor. If not continue to increase the fixed incremental and calculate circularly until it satisfies the restrictions. The finally calculated result is the carrying capacity of the rail network. Finally we take part of the Beijing subway network an a case to test the capacity calculation method. It shows that the method is feasible.
  • Keywords
    rail traffic; railways; Beijing subway network; incremental passenger flow; logit model; networked railway carrying capacity calculation; urban rail transport network carrying capacity calculation method; Educational institutions; Legged locomotion; Organizations; Rail transportation; Rails; Roads; The Logit Model; carrying capacity of the rail network; service level; urban rail transit; urban traffic;
  • 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.2011.6199177
  • Filename
    6199177