Deep reinforcement learning method for control of mixed autonomy traffic systems

Liu, X., Apriaskar, E. and Mihaylova, L. orcid.org/0000-0001-5856-2223 (2024) Deep reinforcement learning method for control of mixed autonomy traffic systems. In: Proceedings of the 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 04-06 Sep 2024, Pilsen, Czech Republic. Institute of Electrical and Electronics Engineers (IEEE) ISBN 9798350368048

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Item Type: Proceedings Paper
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© 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Proceedings of the 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: autonomous vehicles; deep reinforcement; learning; proximal policy optimization; SUMO
Dates:
  • Published: 9 October 2024
  • Published (online): 9 October 2024
  • Accepted: 20 August 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Depositing User: Symplectic Sheffield
Date Deposited: 20 Sep 2024 16:11
Last Modified: 21 Oct 2024 14:37
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/MFI62651.2024.10705775
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