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:
- Transportation Research Board 98th Annual Meeting
- Location: Washington DC, United States
- Date: 2019-1-13 to 2019-1-17
Date: 2019

Language

English

Media Info

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

Subject/Index Terms

TRT Terms: Constraints; High speed rail; Mathematical models; Networks; Passenger traffic; Travel demand
Uncontrolled Terms: Dynamic assignment; Passenger flow; Railroad capacity; Space-time constraints
Geographic Terms: China
Subject Areas: Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Railroads;

Filing Info

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