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Article: A hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction

TitleA hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction
Authors
Xu, XJin, XXiao, DMa, CWong, SC
Issue Date2023
Citation
Journal of Intelligent Transportation Systems, 2023, v. 27, p. 1-18 How to Cite?
DOI: http://dx.doi.org/10.1080/15472450.2021.1977639
Persistent Identifierhttp://hdl.handle.net/10722/324247
ISI Accession Number ID
WOS:000697640900001

 

DC FieldValueLanguage
dc.contributor.authorXu, X-
dc.contributor.authorJin, X-
dc.contributor.authorXiao, D-
dc.contributor.authorMa, C-
dc.contributor.authorWong, SC-
dc.date.accessioned2023-01-20T06:36:35Z-
dc.date.available2023-01-20T06:36:35Z-
dc.date.issued2023-
dc.identifier.citationJournal of Intelligent Transportation Systems, 2023, v. 27, p. 1-18-
dc.identifier.urihttp://hdl.handle.net/10722/324247-
dc.languageeng-
dc.relation.ispartofJournal of Intelligent Transportation Systems-
dc.titleA hybrid autoregressive fractionally integrated moving average and nonlinear autoregressive neural network model for short-term traffic flow prediction-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.identifier.doi10.1080/15472450.2021.1977639-
dc.identifier.hkuros343325-
dc.identifier.volume27-
dc.identifier.spage1-
dc.identifier.epage18-
dc.identifier.isiWOS:000697640900001-

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