Xun, J, Yin, J, Liu, R orcid.org/0000-0003-0627-3184 et al. (3 more authors) (2019) Cooperative control of high-speed trains for headway regulation: A self-triggered model predictive control based approach. Transportation Research, Part C: Emerging Technologies, 102. pp. 106-120. ISSN 0968-090X
Abstract
The advanced train-to-train and train-to-ground communication technologies equipped in high-speed railways have the potential to allow trains to follow each with a steady headway and improve the safety and performance of the railway systems. A key enabler is a train control system that is able to respond to unforeseen disturbances in the system (e.g., incidents, train delays), and to adjust and coordinate the train headways and speeds. This paper proposes a multi-train cooperative control model based on the dynamic features during train longitude movement to adjust train following headway. In particular, our model simultaneously considers several practical constraints, e.g., train controller output constraints, safe train following distance, as well as communication delays and resources. Then, this control problem is solved through a rolling horizon approach by calculating the Riccati equation with Lagrangian multipliers. Due to the practical communication resource constraints and riding comfort requirement, we also improved the rolling horizon approach into a novel self-triggered model predictive control scheme to overcome these issues. Finally, two case studies are given through simulation experiments. The simulation results are analyzed which demonstrate the effectiveness of the proposed approach.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier Ltd. All rights reserved. All rights reserved. This is an author produced version of a paper published in Transportation Research Part C: Emerging Technologies. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Cooperative Train Control; Headway Adjustment; HIgh-Speed Railways; Self-triggered Control |
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) |
Funding Information: | Funder Grant number Royal Academy of Engineering No External Reference |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Mar 2019 13:19 |
Last Modified: | 15 Mar 2020 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trc.2019.02.023 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143142 |