Microscopic simulation of decentralized dispatching strategies in railways

Journal Article (2022)
Author(s)

R. N. van Lieshout (Eindhoven University of Technology)

J. M. van den Akker (Universiteit Utrecht)

R. Mendes Borges (TU Delft - Transport and Planning)

T. Druijf (Universiteit Utrecht, Student TU Delft)

E Quaglietta (TU Delft - Transport and Planning)

Transport and Planning
Copyright
© 2022 R. N. van Lieshout, J. M. van den Akker, R. Mendes Borges, T. Druijf, E. Quaglietta
DOI related publication
https://doi.org/10.1016/j.jrtpm.2022.100335
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 R. N. van Lieshout, J. M. van den Akker, R. Mendes Borges, T. Druijf, E. Quaglietta
Transport and Planning
Volume number
23
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Abstract

This paper analyzes the effectiveness of decentralized strategies for dispatching rolling stock and train drivers in a railway system. Such strategies give operators a robust alternative in case centralized control fails due to an abundance of infrastructure or rolling stock disruptions or information system malfunctions. We test the performance of four rolling stock and two driver dispatching strategies in a microscopic simulation. Our test case is a part of the Dutch railway network, containing eleven stations linked by four train lines. We find that with the decentralized dispatching strategies, target frequencies of the lines are approximately met and train services are highly regular without large delays. Especially strategies that allow rolling stock to switch between lines result in a high performance.