Spatial heterogeneity and migration characteristics of traffic congestion—A quantitative identification method based on taxi trajectory data

Fu, X Xu, C Liu, Y Chen, C-H Hwang, FJ Wang, J

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Physica A: Statistical Mechanics and its Applications, 2021, pp. 126482-126482
Issue Date:: 2021-10

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Field	Value	Language
dc.contributor.author	Fu, X
dc.contributor.author	Xu, C
dc.contributor.author	Liu, Y
dc.contributor.author	Chen, C-H
dc.contributor.author	Hwang, FJ
dc.contributor.author	Wang, J
dc.date.accessioned	2021-11-03T09:37:35Z
dc.date.available	2021-11-03T09:37:35Z
dc.date.issued	2021-10
dc.identifier.citation	Physica A: Statistical Mechanics and its Applications, 2021, pp. 126482-126482
dc.identifier.issn	0378-4371
dc.identifier.uri	http://hdl.handle.net/10453/151330
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Physica A: Statistical Mechanics and its Applications
dc.relation.isbasedon	10.1016/j.physa.2021.126482
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0102 Applied Mathematics, 0105 Mathematical Physics, 0206 Quantum Physics
dc.subject.classification	Fluids & Plasmas
dc.title	Spatial heterogeneity and migration characteristics of traffic congestion—A quantitative identification method based on taxi trajectory data
dc.type	Journal Article
utslib.for	0102 Applied Mathematics
utslib.for	0105 Mathematical Physics
utslib.for	0206 Quantum Physics
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-10-31T00:00:00+1000Z
dc.date.updated	2021-11-03T09:37:24Z
pubs.publication-status	Published

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