A Dynamic Passenger Assignment Model for High-Speed Railway Networks Based on Constrained Continuous Capacity

For high-speed railway (HSR) networks, the space-time passenger flow distribution plays an important role for determining and optimizing the space-time resource allocation (e.g., train scheduling). This study develops a modeling framework to predict space-time passenger flow distribution for HSR networks with rigid capacity constraints. In particular, the service capacity is approximated as a continuous variable, which is time-and-space-dependent under given track network for the HSR system. The travel demand to be loaded to the HSR network has two features besides the origin and destination stations: ticket-booking time and desired departure time. Following the principle of first-booking-first-served (FBFS), an assignment model is formulated with the rigid capacity constraints, where a later ticket-booking time might result in less available travel options. A solution algorithm is designed for solving the ticket-booking-time-dependent assignment model. The model and its applicability are illustrated with a large-scale Chinese HSR network example.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Xu, Guangming
    • Liu, Wei
    • Wu, Runfa
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01698236
  • Record Type: Publication
  • Report/Paper Numbers: 19-02181
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 1 2019 3:51PM