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dc.contributor.authorJon, Yow-Jenen_US
dc.contributor.authorHuang, Yan-Chuen_US
dc.date.accessioned2014-12-08T15:10:50Z-
dc.date.available2014-12-08T15:10:50Z-
dc.date.issued2007en_US
dc.identifier.isbn978-3-540-72589-3en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/8290-
dc.description.abstractThe traffic condition information is critical to signal control and traffic queue management for intelligent transportation systems (ITSs). This work formulates the dynamic traffic flows by a parameter-driven discrete time series model. A modified Expectation-Maximization (EM) algorithm is proposed to estimate the parameters of the model. The conditional expectation given y in the E step of the EM algorithm is replaced by the marginal expectation. Applications of the model and the algorithm are illustrated by analyzing the traffic flow data. Through the data collected by the detectors, the traffic condition about the network can be estimated, smoothed and predicted. This model can be embedded in a chip for signal control and queue management procedures of ITSs.en_US
dc.language.isoen_USen_US
dc.titleA discrete parameter-driven time series model for traffic flow in ITSen_US
dc.typeProceedings Paperen_US
dc.identifier.journalComputational Science - ICCS 2007, Pt 4, Proceedingsen_US
dc.citation.volume4490en_US
dc.citation.spage291en_US
dc.citation.epage294en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000246995600041-
Appears in Collections:Conferences Paper