Adjusting Train Timetables Based on Passenger Flow for Cross-Line Trains

Document Type

Journal Article

Publication Date

2024

Subject Area

place - asia, place - urban, mode - rail, mode - subway/metro, operations - scheduling, infrastructure - station, planning - methods, ridership - demand

Keywords

control, data and data science, dispatching, information systems and technology, intelligent transportation system, traffic, transit, traveler information systems, public transportation, rail, rail transit systems, railroad operating technologies, scheduling, timetable

Abstract

Urban rail transit becomes increasingly convenient for passengers by networking single lines. The urban rail transit network with cross-line trains has different characteristics from the traditional network. The trains can run to different lines at the crossing station, and the operation delay may be spread to different lines because of the operation schedule. A model for adjusting the running delay of cross-line trains is proposed in this paper. The optimization objective is to minimize the total delay time and the number of stranded passengers. In this paper, different scales of delay are analyzed and the operation order of the trains is allowed to be changed at the crossing station. Case simulations achieve good optimization results on the total delay time and the number of stranded passengers. Optimization diagrams are given under different strategies. The model and methodologies are also applied to Beijing Metro Line 13, and good simulation results are achieved for different scales of delay.

Rights

Permission to publish the abstract has been given by SAGE. © National Academy of Sciences: Transportation Research Board 2023

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