Genetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow

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dc.contributor.authorDezani, Henrique
dc.contributor.authorMarranghello, Norian [UNESP]
dc.contributor.authorDamiani, Furio
dc.contributor.institutionSchool of Technology of São José do Rio Preto
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2022-04-29T08:44:56Z
dc.date.available2022-04-29T08:44:56Z
dc.date.issued2014-01-01
dc.description.abstractThis work presents an algorithm for the optimization of urban traffic flow that computes the vehicle routes and traffic lights timing in real time. The optimization procedure uses a genetic algorithm whose fitness function consists of a high-level Petri net model of the urban traffic flow, which simulation results in the fitness value to be used. The outcome of this work is the optimization of urban traffic flow by simultaneously establishing the best possible routes for each vehicle and the definition of the most appropriate traffic lights timing. According to the tests, the simultaneous optimization of traffic lights time and vehicle routes decreased the total travel time as compared to the optimizations performed considering only the routes.en
dc.description.affiliationSchool of Technology of São José do Rio Preto
dc.description.affiliationDepartment of Computer Science São Paulo State University
dc.description.affiliationSchool of Electrical and Computer Engineering University of Campinas
dc.description.affiliationUnespDepartment of Computer Science São Paulo State University
dc.format.extent11326-11331
dc.identifierhttp://dx.doi.org/10.3182/20140824-6-za-1003.01321
dc.identifier.citationIFAC Proceedings Volumes (IFAC-PapersOnline), v. 19, p. 11326-11331.
dc.identifier.doi10.3182/20140824-6-za-1003.01321
dc.identifier.issn1474-6670
dc.identifier.scopus2-s2.0-84929783011
dc.identifier.urihttp://hdl.handle.net/11449/231357
dc.language.isoeng
dc.relation.ispartofIFAC Proceedings Volumes (IFAC-PapersOnline)
dc.sourceScopus
dc.titleGenetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flowen
dc.typeTrabalho apresentado em evento

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Artigos - Engenharia e Tecnologia de Alimentos - IBILCE