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Article: Spatiotemporal traffic-flow dependency and short-term traffic forecasting

TitleSpatiotemporal traffic-flow dependency and short-term traffic forecasting
Authors
Issue Date2008
PublisherPion Ltd.. The Journal's web site is located at http://www.envplan.com/B.html
Citation
Environment And Planning B: Planning And Design, 2008, v. 35 n. 5, p. 762-771 How to Cite?
AbstractShort-term traffic forecasting is playing an increasing role in modern transport management. Although many short-term traffic forecasting methods have been explored, the spatiotemporal dependency of traffic flow, an important characteristic of traffic dynamics that can benefit the forecasting of traffic changes, is often neglected in short-term traffic forecasting. This paper first investigates the spatiotemporal dependency of traffic flow using cross-correlation analysis and then discusses its implications in terms of traffic forecastability and real-time data effectiveness. This can help us to understand traffic flow, and hence improve the performance of forecasting models. © 2008 Pion Ltd and its Licensors.
Persistent Identifierhttp://hdl.handle.net/10722/176294
ISSN
2015 Impact Factor: 1.195
2015 SCImago Journal Rankings: 0.582
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYue, Yen_US
dc.contributor.authorYeh, AGOen_US
dc.date.accessioned2012-11-26T09:08:16Z-
dc.date.available2012-11-26T09:08:16Z-
dc.date.issued2008en_US
dc.identifier.citationEnvironment And Planning B: Planning And Design, 2008, v. 35 n. 5, p. 762-771en_US
dc.identifier.issn0265-8135en_US
dc.identifier.urihttp://hdl.handle.net/10722/176294-
dc.description.abstractShort-term traffic forecasting is playing an increasing role in modern transport management. Although many short-term traffic forecasting methods have been explored, the spatiotemporal dependency of traffic flow, an important characteristic of traffic dynamics that can benefit the forecasting of traffic changes, is often neglected in short-term traffic forecasting. This paper first investigates the spatiotemporal dependency of traffic flow using cross-correlation analysis and then discusses its implications in terms of traffic forecastability and real-time data effectiveness. This can help us to understand traffic flow, and hence improve the performance of forecasting models. © 2008 Pion Ltd and its Licensors.en_US
dc.languageengen_US
dc.publisherPion Ltd.. The Journal's web site is located at http://www.envplan.com/B.htmlen_US
dc.relation.ispartofEnvironment and Planning B: Planning and Designen_US
dc.titleSpatiotemporal traffic-flow dependency and short-term traffic forecastingen_US
dc.typeArticleen_US
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hken_US
dc.identifier.authorityYeh, AGO=rp01033en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1068/b33090en_US
dc.identifier.scopuseid_2-s2.0-65949091372en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-65949091372&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume35en_US
dc.identifier.issue5en_US
dc.identifier.spage762en_US
dc.identifier.epage771en_US
dc.identifier.isiWOS:000260929000003-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridYue, Y=35303739000en_US
dc.identifier.scopusauthoridYeh, AGO=7103069369en_US

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