TORS: A train unit shunting and servicing simulator
Publication date
2021
Authors
Van Der Linden, Jacobus G.M.
Mulderij, Jesse
Huisman, Bob
Den Ouden, Joris W.
van den Akker, Marjan
Hoogeveen, Han
De Weerdt, Mathijs M.
Editors
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
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.
Keywords
Event-based simulation, Multi-Agent Path Finding, Railway Operations, TORS, Train Unit Shunting and Servicing, Train Unit Shunting Problem, Taverne, Artificial Intelligence, Software, Control and Systems Engineering
Citation
Van Der Linden, J G M, Mulderij, J, Huisman, B, Den Ouden, J W, Van Den Akker, M, Hoogeveen, H & De Weerdt, M M 2021, TORS : A train unit shunting and servicing simulator. in 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 3, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1773-1775, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, Virtual, Online, 3/05/21. https://doi.org/10.5555/3463952.3464237, conference