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dc.contributor.authorCruz Piris, Luis de la 
dc.contributor.authorRivera Pinto, Diego 
dc.contributor.authorMarsá Maestre, Iván 
dc.contributor.authorHoz de la Hoz, Enrique de la 
dc.contributor.authorFernández Melián, Susel 
dc.date.accessioned2018-02-14T09:14:15Z
dc.date.available2018-02-14T09:14:15Z
dc.date.issued2017-09-27
dc.identifier.bibliographicCitationCruz Piris, L. Rivera Pinto D. Marsá Maestre, I., Hoz de la Hoz, E. & Fernández Melián, S., 2017, “Intelligent Traffic LightManagement using Multi- Behavioral Agents”, Actas de las XIII Jornadas de Ingeniería Telemática (JITEL 2017), pp.110-117.
dc.identifier.isbn978-84-9048-595-8
dc.identifier.urihttp://hdl.handle.net/10017/32155
dc.descriptionXIII Jornadas de Ingeniería Telemática, 27/09/2017-29/09/2017, Valencia, España.es_ES
dc.description.abstractOne of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration.
dc.description.sponsorshipMinisterio de Economía y Competitividades_ES
dc.description.sponsorshipUniversidad de Alcaláes_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherEditorial Universitat Politècnica de Valencia
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)*
dc.rights© 2017 Editorial Universitat Politècnica de Valencia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMulti-Agents Systemen
dc.subjectIntelligent Transportation Systems (ITS)en
dc.subjectSmart Citiesen
dc.subjectSensor Networksen
dc.subjectTraffic Simulationsen
dc.titleIntelligent Traffic Light Management using Multi-Behavioral Agentsen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.subject.ecienciaTelecomunicacioneses_ES
dc.subject.ecienciaTelecommunicationen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Automáticaes_ES
dc.date.updated2018-02-14T09:09:16Z
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.4995/JITEL2017.2017.7061
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2016-80622-P/ES/Dynamic Network Agreement: negociaciones estructurales en redes complejas/DNAen
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN 2014-61627-EXP/ES/DIVIDE AND NOT CONQUER-COMPORTAMIENTOS EMERGENTES EN REDES COMPLEJAS EGOISTAS/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TEC2013-45183-R/ES/INTELIGENCIA COLECTIVA PARA LA NAVEGACION INTELIGENTE DE TRAFICO VEHICULAR/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/UAH//CCG2016%2FEXP-048en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiCC/0000030315
dc.identifier.publicationtitleXIII Jornadas de Ingeniería Telemática (JITEL 2017)es_ES
dc.identifier.publicationlastpage117
dc.identifier.publicationfirstpage110


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