The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/b974f9f2-672c-44a6-aff8-04806d5f26e6

van Zwienen, Job (2025): Code underlying the BSc thesis: Creating Robust Train Unit Shunting Plans using Probabilistic Programming. Version 2. 4TU.ResearchData. software. https://doi.org/10.4121/b974f9f2-672c-44a6-aff8-04806d5f26e6.v2

Version 1 - 2025-06-20

Categories

• Other Information and Computing Sciences
• Ground Transport
• Transport
• Information and Computing Sciences

Keywords

inference Probabilistic modelling railroad railway robust robust algorithm robust train unit shunting rolling stock scheduling problem shunting train unit shunting train unit shunting problem transport Transportation tusp

Licence

MIT

Interoperability

• RO-Crate Metadata

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by Job van Zwienen

This repository contains all the code related to the Bachelor thesis "Creating Robust Train Unit Shunting Plans using Probabilistic Programming" for the Bachelor of Computer Science and Engineering at Delft University Of Technology. The research investigates the use of probabilistic programming in increasing robustness of train shunting plans. The dataset includes the code which is used to model and to apply probabilistic inference, as well as all configuration files required to reproduce the experiments. Additional information about the contents and the setup of the project can be found in the README file.

History

• 2025-06-20 first online

• 2025-06-24 published, posted

Publisher

4TU.ResearchData

References

• https://resolver.tudelft.nl/uuid:1cc5d684-7f42-47b3-bbbf-042f73327473

Code hosting project url

https://github.com/jobvanzwienen/bachelor-thesis

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science