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dc.provenanceComisión de Investigaciones Científicas-
dc.contributorMayorano, Fernando Javier-
dc.contributorRubiales, Aldo José-
dc.contributorLotito, Pablo Andrés-
dc.creatorMayorano, Fernando Javier-
dc.creatorRubiales, Aldo José-
dc.creatorLotito, Pablo Andrés-
dc.date2013-
dc.date.accessioned2019-04-29T16:04:47Z-
dc.date.available2019-04-29T16:04:47Z-
dc.date.issued2013-
dc.identifierhttp://digital.cic.gba.gob.ar/handle/11746/3997-
dc.identifierDocumento completo-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/308657-
dc.descriptionThe 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.-
dc.formatapplication/pdf-
dc.formatp. 59-66-
dc.languageeng-
dc.publisherUNS Printing Office-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsAttribution-NonCommercial 4.0 International (BY-NC 4.0)-
dc.sourcereponame:CIC Digital (CICBA)-
dc.sourceinstname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires-
dc.sourceinstacron:CICBA-
dc.source.urihttp://digital.cic.gba.gob.ar/handle/11746/3997-
dc.source.uriDocumento completo-
dc.subjectCiencias de la Computación-
dc.titleOptimal control based heuristic for congestion reduction in traffic networks-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: Comisión de Investigaciones Científicas de la Prov. de Buenos Aires

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