Research Data Leeds Repository

Citation

Copado-Mendez, Pedro Jesus and Lin, Zhiyuan and Kwan, Raymond (2018) Train Units Scheduling Optimization. University of Leeds. [Dataset] https://doi.org/10.5518/448

Dataset description

In this repository is stored 16 relevant datasets for the project "Train Unit Scheduling Optimization" funded by an EPSRC project EP/M007243/1 which finished in July 2018. This data, which were provided by Abellio and TransPennine Express, contains information on the train timetables, type train units, locations and a complete description in order to reproduce the experiments.

Subjects:	G000 - Mathematical sciences > G200 - Operational research K000 - Architecture, building & planning > K400 - Planning (urban, rural & regional) > K460 - Transport planning I000 - Computer sciences > I400 - Artificial intelligence
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing > Institute for Computational and Systems Science
Related resources:	Location Type https://doi.org/10.1002/net.21969 Publication https://eprints.whiterose.ac.uk/163544/ Publication https://doi.org/10.1007/s12469-022-00295-3 Publication https://eprints.whiterose.ac.uk/183747/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	26 Jun 2019 11:44
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/537
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Copado-Mendez, Pedro Jesus https://orcid.org/0000-0003-4219-5056 University College London https://ror.org/02jx3x895 ror Lin, Zhiyuan https://orcid.org/0000-0001-7361-5469 University of Manchester https://ror.org/027m9bs27 ror Kwan, Raymond https://orcid.org/0000-0001-6081-8670 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/M007243/1 Publication date: 2018 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: R.S.Kwan@leeds.ac.uk Last Modified: 17 Dec 2024 13:25

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Instances for TUSO [284kB] Instances for TUSO [284kB] Instances for TUSO [284kB] Security: Anyone File name: TUSO_deposit.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 284kB