Online Spatio-temporal Crowd Flow Distribution Prediction for Complex Metro System

Gong, Y; Li, Z; Zhang, J; Liu, W; Zheng, Y

Online Spatio-temporal Crowd Flow Distribution Prediction for Complex Metro System

Gong, Y Li, Z Zhang, J

Liu, W Zheng, Y

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Knowledge and Data Engineering, 2020, PP, (99), pp. 1-1
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Gong, Y
dc.contributor.author	Li, Z
dc.contributor.author	Zhang, J https://orcid.org/0000-0002-7240-3541
dc.contributor.author	Liu, W
dc.contributor.author	Zheng, Y
dc.date.accessioned	2021-01-13T05:38:31Z
dc.date.available	2021-01-13T05:38:31Z
dc.date.issued	2020
dc.identifier.citation	IEEE Transactions on Knowledge and Data Engineering, 2020, PP, (99), pp. 1-1
dc.identifier.issn	1041-4347
dc.identifier.issn	2326-3865
dc.identifier.uri	http://hdl.handle.net/10453/145392
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Knowledge and Data Engineering
dc.relation.isbasedon	10.1109/tkde.2020.2985952
dc.rights	info:eu-repo/semantics/closedAccess
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject	08 Information and Computing Sciences
dc.subject.classification	Information Systems
dc.title	Online Spatio-temporal Crowd Flow Distribution Prediction for Complex Metro System
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-01-13T05:38:25Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

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