Lin, Z orcid.org/0000-0001-6081-8670, Barrena, E orcid.org/0000-0002-8936-725X and Kwan, RSK orcid.org/0000-0001-6081-8670 (2017) Train unit scheduling guided by historic capacity provisions and passenger count surveys. Public Transport, 9 (1-2). pp. 137-154. ISSN 1866-749X
Abstract
Train unit scheduling concerns the assignment of train unit vehicles to cover all the journeys in a fixed timetable. Coupling and decoupling activities are allowed in order to achieve optimal utilization while satisfying passenger demands. While the scheduling methods usually assume unique and well-defined train capacity requirements, in practice most UK train operators consider different levels of capacity provisions. Those capacity provisions are normally influenced by information such as passenger count surveys, historic provisions and absolute minimums required by the authorities. In this paper, we study the problem of train unit scheduling with bi-level capacity requirements and propose a new integer multicommodity flow model based on previous research. Computational experiments on real-world data show the effectiveness of our proposed methodology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016, The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Train unit scheduling; Required train capacities; Multicommodity network flow |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/M007243/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Sep 2016 13:16 |
Last Modified: | 12 Dec 2024 11:21 |
Published Version: | http://doi.org/10.1007/s12469-016-0138-7 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s12469-016-0138-7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104580 |