Liu, F, Xun, J, Liu, R orcid.org/0000-0003-0627-3184 et al. (2 more authors) (2022) A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic. IEEE Intelligent Transportation Systems Magazine, 15 (1). pp. 318-332. ISSN 1939-1390
Abstract
With the increase of train density on the line in high-speed railways (HSRs), delay propagation occurs frequently. In this article, we investigate a real-time rescheduling problem to restore HSR operation from the delay caused by a disturbance. A real-time rescheduling model is suggested considering the relationships between both the running and departure times at the disturbance area, which makes the model more precise. The objective of the planned model is to minimize the total delay time from when the disturbance occurred. A loop-iterative architecture is offered to reduce the constraints scale of the proposed rescheduling model. Three experiments were presented to demonstrate the validity of the recommended model and the effectiveness of the proposed algorithm. By using the suggested method, a rescheduling problem with 10 trains and 248 block sections in the six stations and five interstation areas can be solved within 60 s.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jan 2022 15:28 |
Last Modified: | 12 Apr 2023 10:44 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/MITS.2021.3137478 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182912 |