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An adaptive freeway traffic state estimator and its real-data testing part 1: basic properties

Wang, Y. , Papageorgiou Markos, Messmer, A.

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URIhttp://purl.tuc.gr/dl/dias/E0DA0A03-BDF8-493C-813B-5C164A4A332D-
Identifierhttps://doi.org/10.1109/ITSC.2005.1520104-
Languageen-
TitleAn adaptive freeway traffic state estimator and its real-data testing part 1: basic propertiesen
CreatorWang, Y. en
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
Creator Messmer, A.en
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThis paper addresses the real-data testing of a real-time adaptive freeway traffic state estimator that is based on macroscopic traffic flow modelling and extended Kalman filtering. It is the aim of the paper to investigate the basic properties of the traffic state estimator, including its tracking capabilities, the significance of the on-line model parameter estimation, its sensitivity to the initial values of the estimated model parameters and to the related standard deviation values.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-20-
Date of Publication2005-
Bibliographic CitationY. Wang, M. Papageorgiou, A. Messmer, "An adaptive freeway traffic state estimator and its real-data testing part 1: basic properties," in 2005 Intelligent Transportation Systems, Proceedings. IEEE, pp. 531 - 536, doi: 10.1109/ITSC.2005.1520104en

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