Energy-Efficient Train Timetabling

Book Chapter (2023)
Author(s)

R.M.P. Goverde (TU Delft - Transport and Planning)

Gerben M. Scheepmaker (Nederlandse Spoorwegen)

Transport and Planning
Copyright
© 2023 R.M.P. Goverde, Gerben M. Scheepmaker
DOI related publication
https://doi.org/10.1007/978-3-031-34656-9_4
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 R.M.P. Goverde, Gerben M. Scheepmaker
Transport and Planning
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
69-101
ISBN (print)
['978-3-031-34658-3', '978-3-031-34655-2']
ISBN (electronic)
978-3-031-34656-9
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Running time calculation is an essential ingredient in train timetabling. Traditionally, the technical minimum running times are computed in detail after which a running time supplement is added to obtain the scheduled running times. This running time supplement must be translated into lower cruising speeds or coasting regimes to cover the entire scheduled running time for on-time running. How this is done determines the exact time-distance train paths and the energy consumption of the trains. This chapter explains how train trajectory optimization can be used to compute energy-efficient train trajectories between two stops, over multiple stops including the optimal allocation of running time supplements between the stops, and over corridors considering the track occupation of multiple trains. It is argued that microscopic train timetabling based on energy-efficient train trajectories and blocking time theory is required to design robust conflict-free timetables that enable energy-efficient train operation. The theory is illustrated with many examples under realistic conditions, such as varying gradients and speed restrictions.

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