A double time-scale passenger assignment model for high-speed railway networks with continuum capacity approximation

Guangming Xu, Wei Liu, Runfa Wu, Hai Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


This study models spatiotemporal passenger flow distribution for high-speed railway (HSR) networks with capacity constraints. The HSR travel demand involves two time-dimensions, i.e., the ticket booking time and the desired departure time. Under the principle of first-booked-first-served, a passenger flow assignment model is formulated, where a later ticket booking time may result in less available travel options. A solution algorithm is then designed for solving the ticket-booking-time-dependent assignment model. The model is tested and illustrated with two numerical examples: a toy network example and a large-scale Chinese HSR network example.

Original languageEnglish
Article number102305
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - Jun 2021
Externally publishedYes


  • Capacity constraint
  • Continuum capacity approximation
  • Desired departure time
  • High-speed railway
  • Ticket booking time

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

Cite this