Xun, J, Li, Y, Liu, R orcid.org/0000-0003-0627-3184 et al. (2 more authors) (2022) A Survey on Control Methods for Virtual Coupling in Railway Operation. IEEE Open Journal of Intelligent Transportation Systems, 3. pp. 838-855. ISSN 2687-7813
Abstract
In order to meet the rapid growth of railway transportation demand, the technology that can improve its capacity has been widely concerned. Virtual Coupling (VC) is a new technology to improve capacity by decreasing headways between successive trains. Its basic principle is to control the train formation operation in coordination with the goal of keeping the same speed under the support of data transmission technology such as train-to-train communication. Our paper first reviews the existing theoretical research on train formation operation control, which is divided into four categories: train following, feedback control, optimal control and computational intelligent method. Secondly, by reviewing the related projects in Europe and China, based on the scenario analysis method, five general scenarios and two emergency scenarios in the whole process of VC operation are sorted out. Then, an original, complete list of performance indicators (PIs) is proposed for evaluating the performance of VC in different scenarios. Additionally, the paper gives a brief insight into VC operation by providing an adequate context to understand the proposed PIs.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This article is under copyright. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
Keywords: | Virtual Coupling , railway operation , train-following model , feedback control , optimal control , computational intelligent method , performance indicator |
Dates: |
|
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) |
Funding Information: | Funder Grant number Royal Academy of Engineering TSPC1025 |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Dec 2022 10:35 |
Last Modified: | 10 Jan 2023 16:28 |
Published Version: | http://dx.doi.org/10.1109/ojits.2022.3228077 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ojits.2022.3228077 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:194401 |
Download
Filename: A_Survey_on_Control_Methods_for_Virtual_Coupling_in_Railway_Operation.pdf
Licence: CC-BY 4.0