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dc.contributor.authorAmadio, A.
dc.contributor.authorNicuesa, F.
dc.contributor.authorOtero, D.
dc.contributor.authorGaletti, D. [UNESP]
dc.contributor.authorMizrahi, S. S.
dc.date.accessioned2018-12-11T17:20:57Z
dc.date.available2018-12-11T17:20:57Z
dc.date.issued2018-11-01
dc.identifierhttp://dx.doi.org/10.1016/j.physa.2018.06.017
dc.identifier.citationPhysica A: Statistical Mechanics and its Applications, v. 509, p. 469-478.
dc.identifier.issn0378-4371
dc.identifier.urihttp://hdl.handle.net/11449/176479
dc.description.abstractIn this second part of our research we used the models presented in Modeling vehicular traffic networks. Part I (Otero et al., 2018) to perform an analysis of the urban traffic as recorded by cameras distributed in a chosen sector of Tigre, a city localized in the province of Buenos Aires, Argentina. We found that the circulation of vehicles – the traffic dynamics –, along a whole day, can be described by a hybrid model that is an adapted blend of model 2, for an open linear system, with model 3, which is nonlinear, developed in Part I. The objectives of this work were, firstly, to verify whether the vehicular flux can be modeled as an n-step stochastic process for its evolution, n for the time. Secondly, to find out if the model, with its parameters fixed to describe the traffic of a single day, may adequately describe the traffic in other days. Thirdly, to propose changes in the already established set of the urban traffic rules in order to optimize the vehicular flow and to diminish the average time that a vehicle stays idle at the semaphores. We estimate that the goals were achieved satisfactorily within the margins of the experimental errors of the collected data.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent469-478
dc.language.isoeng
dc.relation.ispartofPhysica A: Statistical Mechanics and its Applications
dc.sourceScopus
dc.subjectData analysis
dc.subjectHybrid model
dc.subjectStochastic process
dc.subjectUrban traffic
dc.titleUrban vehicular traffic: Fitting the data with a hybrid stochastic model. Part IIen
dc.typeArtigo
dc.contributor.institutionUniversidad Técnica Nacional (UTN)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.description.affiliationFacultad Regional General Pacheco Universidad Técnica Nacional (UTN)
dc.description.affiliationInstituto de Física Teórica Universidade Estadual Paulista (UNESP)
dc.description.affiliationDepartamento de Física CCET Universidade Federal de São Carlos (UFSCar)
dc.description.affiliationUnespInstituto de Física Teórica Universidade Estadual Paulista (UNESP)
dc.identifier.doi10.1016/j.physa.2018.06.017
dc.rights.accessRightsAcesso aberto
dc.identifier.scopus2-s2.0-85048790485
dc.identifier.file2-s2.0-85048790485.pdf
dc.relation.ispartofsjr0,773
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