TORS

A train unit shunting and servicing simulator

Conference Paper (2021)
Author(s)

J.G.M. Van Der Linden (TU Delft - Algorithmics)

Jesse Mulderij (TU Delft - Algorithmics)

B Huisman (Nederlandse Spoorwegen, TU Delft - Algorithmics)

Joris W. Den Ouden (Nederlandse Spoorwegen)

Marjan van den Akker (Universiteit Utrecht)

Han Hoogeveen (Universiteit Utrecht)

MM de Weerdt (TU Delft - Algorithmics)

Research Group
Algorithmics
Copyright
© 2021 J.G.M. van der Linden, J. Mulderij, B. Huisman, Joris W. Den Ouden, Marjan Van Den Akker, Han Hoogeveen, M.M. de Weerdt
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 J.G.M. van der Linden, J. Mulderij, B. Huisman, Joris W. Den Ouden, Marjan Van Den Akker, Han Hoogeveen, M.M. de Weerdt
Research Group
Algorithmics
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)
1773-1775
ISBN (electronic)
9781713832621
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

When trains are finished with their transportation tasks during the day, they are moved to a shunting yard where they are routed, parked, cleaned, subject to regular maintenance checks and repaired during the night. The resulting Train Unit Shunting and Servicing problem motivates advanced research in planning and scheduling in general since it integrates several known individually hard problems while incorporating many real-life details. We developed an event-based simulator called TORS (Dutch acronym for Train Shunting and Servicing Simulator), that provides the user with a state and all feasible actions. After an action is picked, TORS calculates the result and the process repeats. This simulator facilitates research into a realistic application of multi-agent path finding.

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