Increasing the Capacity of Shunting Yards Within the Current Infrastructure: A Computational Perspective

Issa K. Hanou; Sebastijan Dumančić; Mathijs de Weerdt; Paul van der Voort; Roel van den Broek; Marjan van den Akker

doi:10.1007/978-3-032-04774-8_77

Increasing the Capacity of Shunting Yards Within the Current Infrastructure: A Computational Perspective

Issa K. Hanou^*
, Sebastijan Dumančić
, Mathijs de Weerdt
, Paul van der Voort
, Roel van den Broek
, Marjan van den Akker

^*Corresponding author for this work

Sub Simulation of Complex Systems

Delft University of Technology
ProRail
Nederlandse Spoorwegen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

With a dense infrastructure and limited space, the opportunities for increasing the capacity of the railway network in the Netherlands are limited. One of the bottlenecks is optimally using the available space around stations and in shunting yards. Many details must be considered, increasing the complexity of the problem. Human planners can benefit from computational support to ensure efficient use of the infrastructure. We introduce a framework for positioning previous research in terms of abstractions and highlight a promising future direction: the development of a new approach that combines different methods and uses the relations between the abstractions to create more efficient solutions.

Original language	English
Title of host publication	Transport Transitions: Advancing Sustainable and Inclusive Mobility
Subtitle of host publication	(TRAconference 2024)
Publisher	Springer
Pages	534-540
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-032-04774-8_77
Publication status	Published - 2026

Publication series

Name	Lecture Notes in Mobility
Volume	Part F1004
ISSN (Print)	2196-5544
ISSN (Electronic)	2196-5552

Bibliographical note

Publisher Copyright:
© The Author(s) 2026.

Keywords

abstractions
human-AI collaboration
hybrid model
neuro-symbolic AI
railway hub
train servicing
train shunting

Access to Document

10.1007/978-3-032-04774-8_77Licence: CC BY

978-3-032-04774-8_77Final published version, 722 KBLicence: CC BY

Cite this

Hanou, I. K., Dumančić, S., de Weerdt, M., Voort, P. V. D., Broek, R. V. D., & Akker, M. V. D. (2026). Increasing the Capacity of Shunting Yards Within the Current Infrastructure: A Computational Perspective. In Transport Transitions: Advancing Sustainable and Inclusive Mobility: (TRAconference 2024) (pp. 534-540). (Lecture Notes in Mobility; Vol. Part F1004). Springer. https://doi.org/10.1007/978-3-032-04774-8_77

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keywords = "abstractions, human-AI collaboration, hybrid model, neuro-symbolic AI, railway hub, train servicing, train shunting",

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Hanou, IK, Dumančić, S, de Weerdt, M, Voort, PVD, Broek, RVD & Akker, MVD 2026, Increasing the Capacity of Shunting Yards Within the Current Infrastructure: A Computational Perspective. in Transport Transitions: Advancing Sustainable and Inclusive Mobility: (TRAconference 2024). Lecture Notes in Mobility, vol. Part F1004, Springer, pp. 534-540. https://doi.org/10.1007/978-3-032-04774-8_77

Increasing the Capacity of Shunting Yards Within the Current Infrastructure: A Computational Perspective. / Hanou, Issa K.; Dumančić, Sebastijan; de Weerdt, Mathijs et al.
Transport Transitions: Advancing Sustainable and Inclusive Mobility: (TRAconference 2024). Springer, 2026. p. 534-540 (Lecture Notes in Mobility; Vol. Part F1004).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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