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dc.contributor.authorQian, Wei-Liang [UNESP]
dc.contributor.authorMachado, Romuel F.
dc.contributor.authorLin, Kai
dc.contributor.authorSiqueira, Adriano F.
dc.contributor.authorUlengin, F.
dc.contributor.authorLi, K.
dc.contributor.authorBoltze, M.
dc.identifier.citationWorld Conference On Transport Research - Wctr 2016. Amsterdam: Elsevier Science Bv, v. 25, p. 1227-1237, 2017.
dc.description.abstractAn alternative stochastic model for the fundamental diagram of traffic flow with minimal number of parameters is proposed. The key features of the model lie in its catastrophic potential function as well as the stochastic nature, which makes it possible to describe the main features of the flow-concentration relation. In particular, the inverse-lambda shape as well as the wide scattering of congested traffic data are both reproduced. In our model, the inverse-lambda shape and the associated sudden jump of physical quantities arise due to the existence of two simultaneous stable traffic flow states and the scattering of the data, on the other hand, is attributed to the noise terms introduced in the stochastic differential equations. The model parameters are then calibrated and compared qualitatively with the data. It is shown that both the fundamental diagram and its variance are reasonably reproduced. (C) 2017 The Authors. Published by Elsevier B.V.en
dc.publisherElsevier B.V.
dc.relation.ispartofWorld Conference On Transport Research - Wctr 2016
dc.sourceWeb of Science
dc.subjectFundamental Diagram
dc.subjectStochastic Differential Equation
dc.subjectTransport Model
dc.titleA stochastic approach to the flow-concentration curve in traffic flow theoryen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderElsevier B.V.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniv Fed Ouro Preto
dc.contributor.institutionUniv Fed Itajuba
dc.description.affiliationUniv Sao Paulo, Escolade Engn Lorena, Dept Ciencia Basicas & Ambientais, Sao Paulo, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Fis & Quim, Ilha Solteira, SP, Brazil
dc.description.affiliationUniv Fed Ouro Preto, Dept Fis, Ouro Preto, MG, Brazil
dc.description.affiliationUniv Fed Itajuba, Inst Fis & Quim, Itajuba, MG, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Fis & Quim, Ilha Solteira, SP, Brazil
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