Optimal control based heuristic for congestion reduction in traffic networks

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cic.isPeerReviewedtruees
cic.lugarDesarrolloLaboratorio de Plasmas Densos Magnetizados es
cic.versioninfo:eu-repo/semantics/publishedVersiones
dc.date.accessioned2016-08-24T17:41:47Z
dc.date.available2016-08-24T17:41:47Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/3997
dc.titleOptimal control based heuristic for congestion reduction in traffic networksen
dc.typeArtículoes
dcterms.abstractThe principal purpose of this work is to test the TUC strategy in a simple case using a micro-simulator designed ad hoc, previous to its real implementation. Using concepts of traffic engineering we describe a well known dynamic linear model of traffic flow in a urban traffic network that is controlled using the traffic-light times. This simplified model allows to obtain a Riccati feedback matrix and compute traffic-light times that will improve the congestion levels. We present some numerical experiments made with the model on an academic example and we validated them with a microscopic simulator that we have created based on Car Following theory and discrete event models.en
dcterms.creator.authorMayorano, Fernando Javieres
dcterms.creator.authorRubiales, Aldo Josées
dcterms.creator.authorLotito, Pablo Andréses
dcterms.extentp. 59-66es
dcterms.identifier.otherISSN 0327-0793es
dcterms.identifier.urlDocumento completoes
dcterms.isPartOf.issuevolumen 43es
dcterms.isPartOf.seriesLatin American Applied Researches
dcterms.issued2013
dcterms.languageIngléses
dcterms.licenseAttribution-NonCommercial 4.0 International (BY-NC 4.0)es
dcterms.publisherUNS Printing Officees
dcterms.subjectOptimal Controlen
dcterms.subjectLQ-Controlen
dcterms.subjectUrban traffic modelsen
dcterms.subject.materiaCiencias de la Computaciónes
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