Uncertainty propagation from the cell transmission traffic flow model to emission predictions: a data-driven approach

Sayegh, AS orcid.org/0000-0002-9810-2915, Connors, RD orcid.org/0000-0002-1696-0175 and Tate, JE orcid.org/0000-0003-1646-6852 (2018) Uncertainty propagation from the cell transmission traffic flow model to emission predictions: a data-driven approach. Transportation Science, 52 (6). pp. 1327-1346. ISSN 0041-1655

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Copyright, Publisher and Additional Information: Copyright © 2017, INFORMS. This is an author produced version of a paper that has been accepted for publication in Transportation Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: traffic-related air pollutants; modeling chain; calibration and validation; ensemble-based optimisation; error estimation; Monte Carlo
Dates:
  • Published: November 2018
  • Accepted: 12 May 2017
  • Published (online): 12 October 2017
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)
Depositing User: Symplectic Publications
Date Deposited: 04 Oct 2017 08:48
Last Modified: 30 Jan 2019 15:07
Status: Published
Publisher: INFORMS (Institute for Operations Research and Management Sciences)
Identification Number: https://doi.org/10.1287/trsc.2017.0787

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