Probabilty hypothesis density filtering for real-time traffic state estimation and prediction

Canaud, M., Mihaylova, L., Sau, J. et al. (1 more author) (2013) Probabilty hypothesis density filtering for real-time traffic state estimation and prediction. Networks and Heterogeneous Media (NHM), 8 (3). 825 - 842. ISSN 1556-1801

Abstract

Metadata

Authors/Creators:
  • Canaud, M.
  • Mihaylova, L.
  • Sau, J.
  • El Faouzi, N.E.
Copyright, Publisher and Additional Information: © 2013 AIMS. This is an author produced version of a paper subsequently published in Networks and Heterogeneous Media (NHM). Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Traffic control; Particle filter; Probability Hypothesis Density filter; traffic state estimation; Sequential Monte Carlo methods
Dates:
  • Published: September 2013
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 01 Dec 2014 10:41
Last Modified: 29 Mar 2018 18:31
Published Version: http://dx.doi.org/10.3934/nhm.2013.8.825
Status: Published
Publisher: AIMS
Refereed: No
Identification Number: https://doi.org/10.3934/nhm.2013.8.825

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