Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter

Clay, R, Ward, JA orcid.org/0000-0002-2469-7768, Ternes, P et al. (2 more authors) (2021) Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter. Simulation Modelling Practice and Theory, 113. 102386. ISSN 1569-190X

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Copyright, Publisher and Additional Information: © 2021 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Simulation Modelling Practice and Theory. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Agent-based modelling; Data assimilation; Unscented Kalman filter; Crowd simulation; MCMC
Dates:
  • Accepted: 29 July 2021
  • Published (online): 8 August 2021
  • Published: December 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Funding Information:
FunderGrant number
Alan Turing InstituteNot Known
Depositing User: Symplectic Publications
Date Deposited: 29 Oct 2021 08:07
Last Modified: 08 Aug 2022 00:13
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.simpat.2021.102386

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Filename: AAMOct21.pdf

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