File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1068/b33090
- Scopus: eid_2-s2.0-65949091372
- WOS: WOS:000260929000003
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Spatiotemporal traffic-flow dependency and short-term traffic forecasting
Title | Spatiotemporal traffic-flow dependency and short-term traffic forecasting |
---|---|
Authors | |
Issue Date | 2008 |
Publisher | Pion 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? |
Abstract | Short-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 Identifier | http://hdl.handle.net/10722/176294 |
ISSN | 2016 Impact Factor: 1.527 2019 SCImago Journal Rankings: 1.109 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yue, Y | en_US |
dc.contributor.author | Yeh, AGO | en_US |
dc.date.accessioned | 2012-11-26T09:08:16Z | - |
dc.date.available | 2012-11-26T09:08:16Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.citation | Environment And Planning B: Planning And Design, 2008, v. 35 n. 5, p. 762-771 | en_US |
dc.identifier.issn | 0265-8135 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/176294 | - |
dc.description.abstract | Short-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.language | eng | en_US |
dc.publisher | Pion Ltd.. The Journal's web site is located at http://www.envplan.com/B.html | en_US |
dc.relation.ispartof | Environment and Planning B: Planning and Design | en_US |
dc.title | Spatiotemporal traffic-flow dependency and short-term traffic forecasting | en_US |
dc.type | Article | en_US |
dc.identifier.email | Yeh, AGO: hdxugoy@hkucc.hku.hk | en_US |
dc.identifier.authority | Yeh, AGO=rp01033 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1068/b33090 | en_US |
dc.identifier.scopus | eid_2-s2.0-65949091372 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-65949091372&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 35 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.spage | 762 | en_US |
dc.identifier.epage | 771 | en_US |
dc.identifier.isi | WOS:000260929000003 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Yue, Y=35303739000 | en_US |
dc.identifier.scopusauthorid | Yeh, AGO=7103069369 | en_US |
dc.identifier.issnl | 0265-8135 | - |