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

Publication date

2026

Authors

Hanou, Issa K.
Dumančić, Sebastijan
de Weerdt, Mathijs
Voort, Paul van der
Broek, Roel van den
Akker, Marjan van denORCID 0000-0002-7114-0655ISNI 0000000389782477

Editors

Advisors

Supervisors

Document Type

Part of book
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License

cc_by

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.

Keywords

abstractions, human-AI collaboration, hybrid model, neuro-symbolic AI, railway hub, train servicing, train shunting, Control and Systems Engineering, Automotive Engineering, Transportation, Energy (miscellaneous)

Citation

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 Lecture Notes in Mobility. Lecture Notes in Mobility, vol. Part F1004, Springer, pp. 534-540. https://doi.org/10.1007/978-3-032-04774-8_77