A cross-entropy method and probabilistic sensitivity analysis framework for calibrating microscopic traffic models

Zhong, RX, Fu, KY, Sumalee, A et al. (2 more authors) (2016) A cross-entropy method and probabilistic sensitivity analysis framework for calibrating microscopic traffic models. Transportation Research Part C: Emerging Technologies, 63. pp. 147-169. ISSN 0968-090X

Abstract

Metadata

Authors/Creators:
  • Zhong, RX
  • Fu, KY
  • Sumalee, A
  • Ngoduy, D
  • Lam, WHK
Copyright, Publisher and Additional Information: © 2015 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Transportation Research Part C: Emerging Technologies. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Car-following model; Model calibration; Cross-entropy method; Probabilistic sensitivity analysis; Relative entropy; Kullback–Leibler distance
Dates:
  • Published: February 2016
  • Accepted: 8 December 2015
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
EPSRCEP/J002186/1
Depositing User: Symplectic Publications
Date Deposited: 12 Feb 2016 16:17
Last Modified: 16 Nov 2016 09:20
Published Version: http://dx.doi.org/10.1016/j.trc.2015.12.006
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.trc.2015.12.006

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