Finding best urban routes based on analyses of High Level and IOPT Petri net models

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorFatec-
Autor(es): dc.contributorUniv Nova Lisboa-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorDezani, Henrique-
Autor(es): dc.creatorGomes, Luis-
Autor(es): dc.creatorDamiani, Furio-
Autor(es): dc.creatorMarranghello, Norian [UNESP]-
Autor(es): dc.creatorIEEE Industrial Electronics Society-
Data de aceite: dc.date.accessioned2022-02-22T00:08:18Z-
Data de disponibilização: dc.date.available2022-02-22T00:08:18Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2012-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196031-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196031-
Descrição: dc.descriptionThis paper presents a tool that combines two kinds of Petri Net analyses to set the fastest routes to one vehicle in a bounded area of traffic urban. The first analysis consists of the discovery of possible routes in a state space generated from an IOPT Petri net model given the initial marking as the vehicle position. The second analysis receives the routes found in the first analysis and calculates the state equations at incidence matrix created from the High Level Petri net model to define the fastest route for each vehicle that arrive in the roads. It was considered the exchange of information between vehicle and infrastructure (V2I) to get the position and speed of all vehicles and support the analyses. With the results obtained we conclude that is possible optimizing the urban traffic flow if this tool is applied to all vehicles in a bounded urban traffic.-
Descrição: dc.descriptionUniv Estadual Campinas, FEEC DSIF, Campinas, SP, Brazil-
Descrição: dc.descriptionFatec, CEETEPS, Fac Technol De Rio Preto, Sao Jose Do Rio Preto, Brazil-
Descrição: dc.descriptionUniv Nova Lisboa, FCT, DEE & Uninova, Lisbon, Portugal-
Descrição: dc.descriptionUniv Estadual Paulista, Ibilce, DCCE, Sao Jose Do Rio Preto, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Ibilce, DCCE, Sao Jose Do Rio Preto, Brazil-
Formato: dc.format6126-6131-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation38th Annual Conference On Ieee Industrial Electronics Society (iecon 2012)-
???dc.source???: dc.sourceWeb of Science-
Título: dc.titleFinding best urban routes based on analyses of High Level and IOPT Petri net models-
Aparece nas coleções:Repositório Institucional - Unesp

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