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dc.contributor.authorGuerrero Ibáñez, Juan Antonio
dc.contributor.authorContreras Castillo, Juan José
dc.contributor.authorBuenrostro Mariscal, Raymundo
dc.contributor.authorBarba Martí, Antonio
dc.contributor.authorReyes Muñoz, María Angélica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2011-02-08T19:40:06Z
dc.date.available2011-02-08T19:40:06Z
dc.date.created2010
dc.date.issued2010
dc.identifier.citationGuerrero, J. [et al.]. A Policy-Based Multi-Agent management approach for Intelligent Traffic-Light Control. A: IEEE Intelligent Vehicles Symposium. "2010 IEEE Intelligent Vehicles Symposium". San Diego, California: 2010, p. 694-699.
dc.identifier.isbn978-1-4244-7866-8
dc.identifier.urihttp://hdl.handle.net/2117/11319
dc.description.abstractIn this paper we propose the application of intelligent agents in traffic-lights, for the road control of urban transit in the city of Colima, México; using a multi-agent approach for dynamic urban traffic-lights system coordination that relies on locally available traffic data and the traffic condition of the neighboring intersections. According to this approach, our system consists of agents distributed into a hierarchical architecture. Each agent is responsible for one activity, for example, traffic data collection, preprocessing of these data and decision making of econfiguration of the traffic-lights controllers. An intelligent algorithm based on the policy management model is defined and used as an auxiliary element for the coordination mechanism in order to form an adaptive control system with learning capabilities that allows a more fluid traffic and reduce some of the problems that the society face such as the average wait time and trip travel time and the average size queue per intersection. We define a model based on configuration profiles that are used as initial configurations and new configuration profiles are created as the traffic conditions change. Our approach is experimented with traffic control of a few connected junctions and the result obtained is promising; it can reduce the average delayed time of each car at each traffic-light near an intersection rather substantially when compared with the current traffic-lights control approach.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshTraffic assignment--Computer programs.
dc.subject.lcshTraffic assignment
dc.titleA Policy-Based Multi-Agent management approach for Intelligent Traffic-Light Control
dc.typeConference report
dc.subject.lemacEnginyeria del trànsit
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.contributor.groupUniversitat Politècnica de Catalunya. BAMPLA - Disseny i Avaluació de Xarxes i Serveis de Banda Ampla
dc.identifier.doi10.1109/IVS.2010.5548133
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5548133
dc.rights.accessRestricted access - publisher's policy
drac.iddocument4502889
dc.description.versionPostprint (published version)
upcommons.citation.authorGuerrero, J.; Contreras, J.; Buenrostro , R.; Barba, A.; Reyes, M.
upcommons.citation.contributorIEEE Intelligent Vehicles Symposium
upcommons.citation.pubplaceSan Diego, California
upcommons.citation.publishedtrue
upcommons.citation.publicationName2010 IEEE Intelligent Vehicles Symposium
upcommons.citation.startingPage694
upcommons.citation.endingPage699


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