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Article: Hybrid traffic prediction scheme for intelligent transportation systems based on historical and real-time data

TitleHybrid traffic prediction scheme for intelligent transportation systems based on historical and real-time data
Authors
Issue Date2017
Citation
International Journal of Distributed Sensor Networks, 2017, v. 13, p. 155014771774500 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320367
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXIE, J-
dc.contributor.authorChoi, YK-
dc.date.accessioned2022-10-21T07:51:59Z-
dc.date.available2022-10-21T07:51:59Z-
dc.date.issued2017-
dc.identifier.citationInternational Journal of Distributed Sensor Networks, 2017, v. 13, p. 155014771774500-
dc.identifier.urihttp://hdl.handle.net/10722/320367-
dc.languageeng-
dc.relation.ispartofInternational Journal of Distributed Sensor Networks-
dc.titleHybrid traffic prediction scheme for intelligent transportation systems based on historical and real-time data-
dc.typeArticle-
dc.identifier.emailChoi, YK: ykchoi@cs.hku.hk-
dc.identifier.authorityChoi, YK=rp00106-
dc.identifier.doi10.1177/1550147717745009-
dc.identifier.hkuros340515-
dc.identifier.volume13-
dc.identifier.spage155014771774500-
dc.identifier.epage155014771774500-
dc.identifier.isiWOS:000416534300001-

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