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Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/112025
Campo DC Valoridioma
dc.contributor.authorZouari, Mariamen_US
dc.contributor.authorBaklouti, Nesrineen_US
dc.contributor.authorKammoun, M. Habiben_US
dc.contributor.authorAyed, Mounir Benen_US
dc.contributor.authorAlimi, Adel M.en_US
dc.contributor.authorSánchez-Medina, Javier J.en_US
dc.date.accessioned2021-09-27T18:47:03Z-
dc.date.available2021-09-27T18:47:03Z-
dc.date.issued2021en_US
dc.identifier.isbn978-1-6654-4407-1en_US
dc.identifier.issn1098-7584en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/112025-
dc.description.abstractTraffic congestion is a problem in most large cities world wide. It occurs when the capacity of road is surpassed, resulting in augmented vehicular queuing and slower average speeds. The traffic congestion can be caused or increased by various conditions like weather, road work, road traffic incidents. To deal with these problems, we propose a novel cooperative Multi-Agent system (MAS) for Road Traffic Decision Making in Vehicular Ad-Hoc network (VANET) based on a Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (CMRHFS) used for travel route guidance. Our proposal aims to increase the road safety and the quality of the entire road network, especially in case of congestions, accidents and jams, considering traffic information in real-time as well as drivers travel time to attain their destinations. The obtained simulation results have proved our suggested system efficiency compared to Dijkstra's algorithm and Hierarchical Interval Type-2 Fuzzy Logic System (HIT2FLS) regarding two criteria: average travel time and path flow.en_US
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE International Conference on Fuzzy Systemsen_US
dc.sourceIEEE International Conference on Fuzzy Systems [ISSN 1098-7584], v. 2021-July, (Julio 2021)en_US
dc.subjectInvestigaciónen_US
dc.subject.otherCooperative Multi-Agent Systemen_US
dc.subject.otherHit2Flsen_US
dc.subject.otherInterval Type-2 Fuzzy Logicen_US
dc.subject.otherRoad Safetyen_US
dc.subject.otherRoute Guidanceen_US
dc.subject.otherTraffic Congestionen_US
dc.subject.otherVaneten_US
dc.titleA Multi-Agent system for road traffic decision making based on Hierarchical Interval Type-2 Fuzzy Knowledge Representation Systemen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceIEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021)en_US
dc.identifier.doi10.1109/FUZZ45933.2021.9494502en_US
dc.identifier.scopus85114665332-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid57190216806-
dc.contributor.authorscopusid16642272000-
dc.contributor.authorscopusid57216783342-
dc.contributor.authorscopusid35092238600-
dc.contributor.authorscopusid7003687617-
dc.contributor.authorscopusid26421466600-
dc.relation.volume2021-Julyen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.eisbn978-1-6654-4408-8-
dc.utils.revisionSíen_US
dc.date.coverdateJulio 2021en_US
dc.identifier.conferenceidevents129883-
dc.identifier.ulpgcSíen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr0,352
dc.description.sjrq-
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUCES: Centro de Innovación para la Empresa, el Turismo, la Internacionalización y la Sostenibilidad-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-2530-3182-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameSánchez Medina, Javier Jesús-
Colección:Actas de congresos
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