Prescriptive analytics for freeway traffic state estimation by multi-source data fusion

Huang, D., Zhang, J., Liu, Z. et al. (1 more author) (2025) Prescriptive analytics for freeway traffic state estimation by multi-source data fusion. Transportation Research Part E: Logistics and Transportation Review, 198. 104105. ISSN 1366-5545

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

This is an author produced version of an article accepted for publication in Transportation Research Part E: Logistics and Transportation Review made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Traffic state estimation; Data fusion; Prescriptive analytics; Predict-then-optimize; State genes
Dates:
  • Accepted: 26 March 2025
  • Published (online): 23 April 2025
  • Published: June 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Funding Information:
Funder
Grant number
Royal Society
IEC\NSFC\223338
Depositing User: Symplectic Publications
Date Deposited: 29 Apr 2025 11:44
Last Modified: 29 Apr 2025 11:44
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.tre.2025.104105
Open Archives Initiative ID (OAI ID):

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