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

• Published in: Transportation research. Part E, Logistics and transportation review Vol. 150; p. 102305
• Main Authors: Xu, Guangming, Liu, Wei, Wu, Runfa, Yang, Hai
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2021
• Subjects: Capacity constraint; Continuum capacity approximation; Desired departure time; High-speed railway; Ticket booking time; Ticket booking time; High-speed railway; Capacity constraint; Desired departure time; Continuum capacity approximation
• ISSN: 1366-5545; 1878-5794
• DOI: 10.1016/j.tre.2021.102305

•This study predicts the time-and-space-dependent flow for high-speed rail network.•The passenger flow pattern is ticket-booking-time-dependent.•An algorithm is designed for solving the passenger flow assignment model.•The model and algorithm are applied on the large-scale rail network of China. 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.