Traffic estimation for large urban road network with high missing data ratio

Offor, K. orcid.org/0000-0001-9112-070X, Vaci, L. orcid.org/0000-0003-3375-379X and Mihaylova, L. orcid.org/0000-0001-5856-2223 (2019) Traffic estimation for large urban road network with high missing data ratio. Sensors, 19 (12). 2813. ISSN 1424-8220

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Keywords: particle filtering; road traffic; state estimation; Bayesian inference; Kriging; missing data imputation
Dates:
  • Accepted: 20 June 2019
  • Published (online): 24 June 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
European Commission - Horizon 2020688082
Depositing User: Symplectic Sheffield
Date Deposited: 08 Jul 2019 15:16
Last Modified: 08 Jul 2019 15:16
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/s19122813

Share / Export

Statistics