A novel method for comparing passenger car fleets and identifying high-chance gross emitting vehicles using kerbside remote sensing data

Rushton, CE, Tate, JE orcid.org/0000-0003-1646-6852 and Shepherd, SP orcid.org/0000-0002-4420-3382 (2020) A novel method for comparing passenger car fleets and identifying high-chance gross emitting vehicles using kerbside remote sensing data. Science of The Total Environment. 142088. ISSN 0048-9697

Abstract

Metadata

Authors/Creators:
Keywords: NOx; Vehicle emissions; Remote sensing; Real driving emissions; Clean air zone
Dates:
  • Accepted: 28 August 2020
  • Published (online): 6 September 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Funding Information:
FunderGrant number
Aberdeen City Council Marischal Aberdeen City Council Marischal CollegeNo Ext Ref
Depositing User: Symplectic Publications
Date Deposited: 08 Sep 2020 13:17
Last Modified: 08 Sep 2020 13:17
Status: Published online
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.scitotenv.2020.142088

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