Longitudinal vehicle dynamics : a comparison of physical and data-driven models under large-scale real-world driving conditions

James, S.S. orcid.org/0000-0003-0208-0588, Anderson, S.R. and Lio, M.D. (2020) Longitudinal vehicle dynamics : a comparison of physical and data-driven models under large-scale real-world driving conditions. IEEE Access, 8. pp. 73714-73729.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Keywords: Data-driven; state estimation; linear; neural network; nonlinear; state-space; vehicle dynamics
Dates:
  • Accepted: 11 April 2020
  • Published: 17 April 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - HORIZON 2020DREAM4CARS 731593
Depositing User: Symplectic Sheffield
Date Deposited: 04 May 2020 11:06
Last Modified: 04 May 2020 11:14
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/access.2020.2988592

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