Traffic model with an absorbing-state phase transition

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dc.creatorMauro Lucio Lobão Iannini
dc.creatorRonald Dickman
dc.date.accessioned2022-05-16T15:11:31Z
dc.date.accessioned2025-09-09T00:54:12Z
dc.date.available2022-05-16T15:11:31Z
dc.date.issued2017-02-06
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doihttps://doi.org/10.1103/PhysRevE.95.022106
dc.identifier.issn2470-0053
dc.identifier.urihttps://hdl.handle.net/1843/41701
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofPhysical Review E
dc.rightsAcesso Restrito
dc.subjectTransições de fases
dc.subjectFenômenos críticos
dc.subjectFísica estatística
dc.subject.otherTraffic models
dc.subject.otherTransições de fase
dc.subject.otherPilhas de areia
dc.subject.otherStochastic processes
dc.titleTraffic model with an absorbing-state phase transition
dc.typeArtigo de periódico
local.citation.epage022106-9
local.citation.issue2
local.citation.spage022106-1
local.citation.volume95
local.description.resumoWe consider a modified Nagel-Schreckenberg (NS) model in which drivers do not decelerate if their speed is smaller than the headway (number of empty sites to the car ahead). (In the original NS model, such a reduction in speed occurs with probability p, independent of the headway, as long as the current speed is greater than zero.) In the modified model the free-flow state (with all vehicles traveling at the maximum speed, vmax) is absorbing for densities ρ smaller than a critical value ρc = 1/(vmax + 2). The phase diagram in the ρ-p plane is reentrant: for densities in the range ρc,< < ρ < ρc, both small and large values of p favor free flow, while for intermediatevalues, a nonzero fraction of vehicles have speeds <vmax. In addition to representing a more realistic description of driving behavior, this change leads to a better understanding of the phase transition in the original model. Ourresults suggest an unexpected connection between traffic models and stochastic sandpiles.
local.identifier.orcidhttps://orcid.org/0000-0003-2378-9393
local.publisher.countryBrasil
local.publisher.departmentICX - DEPARTAMENTO DE FÍSICA
local.publisher.initialsUFMG
local.url.externahttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.022106

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