Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44295
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dc.contributor.authorSánchez-Medina, Javieren_US
dc.contributor.authorGalán-Moreno, Manuelen_US
dc.contributor.authorAngulo-de-Ugarte, Néstoren_US
dc.contributor.authorRubio-Royo, Enriqueen_US
dc.date.accessioned2018-11-21T21:47:24Z-
dc.date.available2018-11-21T21:47:24Z-
dc.date.issued2008en_US
dc.identifier.isbn978-1-60132-069-8en_US
dc.identifier.urihttp://hdl.handle.net/10553/44295-
dc.description.abstractOur group has developed and successfully tested a new urban traffic lights optimization architecture. This architecture includes a standard Genetic Algorithm, a Cellular Automata based traffic simulator within the evaluation function, and a Beowulf Cluster. Every hypothetical solution is marked according to the statistics obtained from a traffic micro-simulation. So far, the duration of each simulation has been chosen without any formal restriction. With this paper, we want to share the first results and conclusions of our study regarding the simulation times against the traffic network size comparison. To do so, we have run a wide set of experiments with different scaled networks. For this paper, we have presented the results obtained with a small "lab network" and a big network taken from the real world - "Las Ramblas" in Santa Cruz de Tenerife, Spain. We have found a strong linear relationship among simulation times and fitness. It could mean big computing time savings for our system. This is particularly interesting for a future adaptation of the model to a dynamic environment, with real time restrictions.en_US
dc.languageengen_US
dc.sourceProceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008, p. 255-261en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject332703 Sistemas de transito urbanoen_US
dc.subject.otherGenetic algorithmsen_US
dc.subject.otherIntelligent transport systemsen_US
dc.subject.otherNon deterministic optimizationen_US
dc.subject.otherTraffic modellingen_US
dc.titleSimulation times Vs. network size in a genetic algorithm based urban traffic optimization architectureen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.identifier.scopus62749097987-
dc.contributor.authorscopusid26421466600-
dc.contributor.authorscopusid26421192600-
dc.contributor.authorscopusid26421026300-
dc.contributor.authorscopusid7101626071-
dc.description.lastpage261en_US
dc.description.firstpage255en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.date.coverdateDiciembre 2008en_US
dc.identifier.ulpgcen_US
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.deptGIR IUCTC: Centro de Innovación para la Sociedad de la Información-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.orcid0000-0003-2530-3182-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameSánchez Medina, Javier Jesús-
crisitem.author.fullNameRubio Royo,Enrique-
Appears in Collections:Actas de congresos
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