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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorSchool of Technology of São José do Rio Preto-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.creatorDezani, Henrique-
Autor(es): dc.creatorMarranghello, Norian-
Autor(es): dc.creatorDamiani, Furio-
Data de aceite: dc.date.accessioned2025-08-21T21:16:21Z-
Data de disponibilização: dc.date.available2025-08-21T21:16:21Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2014-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3182/20140824-6-za-1003.01321-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/231357-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/231357-
Descrição: dc.descriptionThis 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.-
Descrição: dc.descriptionSchool of Technology of São José do Rio Preto-
Descrição: dc.descriptionDepartment of Computer Science São Paulo State University-
Descrição: dc.descriptionSchool of Electrical and Computer Engineering University of Campinas-
Descrição: dc.descriptionDepartment of Computer Science São Paulo State University-
Formato: dc.format11326-11331-
Idioma: dc.languageen-
Relação: dc.relationIFAC Proceedings Volumes (IFAC-PapersOnline)-
???dc.source???: dc.sourceScopus-
Título: dc.titleGenetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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