Periodic train timetable expansion

An integrated model of multi-period train service selection and rolling stock circulation with time-varying passenger demand

Abstract (2023)

Authors

Tianqi Li Beijing Jiaotong University
R.M.P. Goverde Transport and Planning - CEG
Research Group
Transport and Planning (CEG) (TU Delft)
Copyright: © 2023 Tianqi Li, R.M.P. Goverde
Integrated optimization Periodic train timetable Rolling stock circulation Flexible train composition Time-varying passenger demand
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Published Date

2023

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

The periodic train timetable is one of the most widely used train timetables in passenger railway systems worldwide. However, how to expand well-coordinated daily train services from a single-period timetable pattern is rarely studied. This paper develops a multi-objective mixed integer programming model to solve the periodic train timetable expansion problem, aiming to optimize passenger waiting time and rolling stock operation costs. In our model, the time-varying passenger assignment, train service selection, and rolling stock circulation planning are integrated. Moreover, the rolling stock circulation is considered with a flexible composition mode for efficiency. An ε-constraint method is introduced to explore the Pareto frontier for the multi-objective model and analyze the trade-offs between the service quality and operating cost. The model and analyzing theorem are validated via the real-world case Guangzhou-Shenzhen Intercity Railway transit system.