Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)0733-947X(2009)135:9(658)
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dc.titleMultivariate traffic forecasting technique using cell transmission model and SARIMA model
dc.contributor.authorSzeto, W.Y.
dc.contributor.authorGhosh, B.
dc.contributor.authorBasu, B.
dc.contributor.authorO'Mahony, M.
dc.date.accessioned2014-10-07T06:27:26Z
dc.date.available2014-10-07T06:27:26Z
dc.date.issued2009
dc.identifier.citationSzeto, W.Y., Ghosh, B., Basu, B., O'Mahony, M. (2009). Multivariate traffic forecasting technique using cell transmission model and SARIMA model. Journal of Transportation Engineering 135 (9) : 658-667. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)0733-947X(2009)135:9(658)
dc.identifier.issn0733947X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/84634
dc.description.abstractThe paper develops a short-term space-time traffic flow forecasting strategy integrating the empirical-based seasonal autoregressive integrated moving average (SARIMA) time-series forecasting technique with the theoretical-based first-order macroscopic traffic flow model-cell transmission model. A case study in Dublin city center which has serious traffic congestion is performed to test the effectiveness of the proposed multivariate traffic forecasting strategy. The results show that the forecasts at the junctions only deviate around 10% at a maximum from the original observations and seem to indicate that the proposed strategy is one of the effective approaches to predict the real-time traffic flow level in a congested network especially at the locations where no continuous data collection takes place. © 2009 ASCE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1061/(ASCE)0733-947X(2009)135:9(658)
dc.sourceScopus
dc.subjectData collections
dc.subjectForecasting
dc.subjectIntersections
dc.subjectSeasonal variations
dc.subjectTraffic flow
dc.subjectTraffic models
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1061/(ASCE)0733-947X(2009)135:9(658)
dc.description.sourcetitleJournal of Transportation Engineering
dc.description.volume135
dc.description.issue9
dc.description.page658-667
dc.identifier.isiut000269062200008
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