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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/29113
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dc.contributor.authorChetcuti Zammit, Luana-
dc.contributor.authorFabri, Simon G.-
dc.contributor.authorScerri, Kenneth-
dc.date.accessioned2018-04-12T13:20:21Z-
dc.date.available2018-04-12T13:20:21Z-
dc.date.issued2017-
dc.identifier.citationChetcuti Zammit, L., Fabri, S.G., & Scerri, K. (2017). Simultaneous traffic flow and macro model estimation for signalized junctions with multiple input lanes .3rd International Conference on Vehicle Technology and Intelligent Transport Systems, Porto. 1-8.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/29113-
dc.description.abstractA novel algorithm is presented for macro model estimation of the dynamics of traffic flow in a junction having multiple input lanes for each turning direction. The proposed algorithm jointly estimates the states describing the traffic flow under different traffic conditions, together with model parameters and their uncertainties of the measurement and process noise. Use is made of the Expectation-Maximization methodology with a sliding window over time in order to obtain quasi real-time estimation.en_GB
dc.language.isoenen_GB
dc.publisherSCITEPRESS – Science and Technology Publicationsen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectMOPI (Computer system)en_GB
dc.subjectExpectation-maximization algorithmsen_GB
dc.subjectIntelligent transportation systemsen_GB
dc.subjectTraffic engineering -- Data processingen_GB
dc.titleSimultaneous traffic flow and macro model estimation for signalized junctions with multiple input lanesen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename3rd International Conference on Vehicle Technology and Intelligent Transport Systemsen_GB
dc.bibliographicCitation.conferenceplacePorto, Portugal, 22-24/04/2017en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.5220/0006244801570164-
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