Using machine learning and deep learning for traffic congestion prediction: A review

Mihaita, AS Li, Z Singh, H Sharma, N Tuo, M Ou, Y

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Publication Type:: Chapter
Citation:: Handbook on Artificial Intelligence and Transport, 2023, pp. 124-153
Issue Date:: 2023-10-13

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Field	Value	Language
dc.contributor.author	Mihaita, AS
dc.contributor.author	Li, Z
dc.contributor.author	Singh, H
dc.contributor.author	Sharma, N
dc.contributor.author	Tuo, M
dc.contributor.author	Ou, Y
dc.date.accessioned	2024-03-06T23:18:45Z
dc.date.available	2024-03-06T23:18:45Z
dc.date.issued	2023-10-13
dc.identifier.citation	Handbook on Artificial Intelligence and Transport, 2023, pp. 124-153
dc.identifier.isbn	9781803929538
dc.identifier.uri	http://hdl.handle.net/10453/176229
dc.language	en
dc.relation.ispartof	Handbook on Artificial Intelligence and Transport
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Using machine learning and deep learning for traffic congestion prediction: A review
dc.type	Chapter
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-06T23:18:44Z
pubs.publication-status	Published

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