Modelling uncertainty in the sustainability of intelligent transport systems for highways using probabilistic data fusion.

Koloz, B, Grant-Muller, SM and Djemame, K (2013) Modelling uncertainty in the sustainability of intelligent transport systems for highways using probabilistic data fusion. Environmental Modelling and Software, 49. 78 - 97. ISSN 1364-8152

Abstract

Metadata

Authors/Creators:
  • Koloz, B
  • Grant-Muller, SM
  • Djemame, K
Copyright, Publisher and Additional Information: (c) 2013, Elsevier. Uploaded in accordance with the publisher's self-archiving policy. This is the author’s version of a work that was accepted for publication in Environmental Modelling and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Modelling and Software, 49, 2013, 10.1016/j.envsoft.2013.07.011
Keywords: Uncertainty modelling; Low carbon-energy policy; Intelligent Transport Systems
Dates:
  • Published: 4 August 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 Nov 2013 10:35
Last Modified: 15 Sep 2014 02:43
Published Version: http://dx.doi.org/10.1016/j.envsoft.2013.07.011
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.envsoft.2013.07.011

Share / Export

Statistics