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An Evolutionary Algorithm to Generate Real Urban Traffic Flows

dc.contributor.authorStolfi, Daniel H.
dc.contributor.authorAlba-Torres, Enrique 
dc.date.accessioned2015-11-18T11:57:32Z
dc.date.available2015-11-18T11:57:32Z
dc.date.created2015
dc.date.issued2015
dc.identifier.citationD. H. Stolfi and E. Alba, “An Evolutionary Algorithm to Generate Real Urban Traffic Flows,” in Advances in Artificial Intelligence, vol. 9422, Eds. Springer International Publishing, 2015, pp. 332–343.es_ES
dc.identifier.urihttp://hdl.handle.net/10630/10700
dc.description.abstractIn this article we present a strategy based on an evolutionary algorithm to calculate the real vehicle ows in cities according to data from sensors placed in the streets. We have worked with a map imported from OpenStreetMap into the SUMO traffic simulator so that the resulting scenarios can be used to perform different optimizations with the confidence of being able to work with a traffic distribution close to reality. We have compared the results of our algorithm to other competitors and achieved results that replicate the real traffic distribution with a precision higher than 90%.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. This research has been partially funded by project number 8.06/5.47.4142 in collaboration with the VSB-Technical University of Ostrava and Universidad de Málaga UMA/FEDER FC14-TIC36, programa de fortalecimiento de las capacidades de I+D+i en las universidades 2014-2015, de la Consejería de Economía, Innovación, Ciencia y Empleo, cofinanciado por el fondo europeo de desarrollo regional (FEDER). Also, partially funded by the Spanish MINECO project TIN2014-57341-R (http://moveon.lcc.uma.es). The authors would like to thank the FEDER of European Union for financial support via project Movilidad Inteligente: Wi-Fi, Rutas y Contaminación (maxCT) of the "Programa Operativo FEDER de Andalucía 2014-2020. We also thank all Agency of Public Works of Andalusia Regional Government staff and researchers for their dedication and professionalism. Daniel H. Stolfi is supported by a FPU grant (FPU13/00954) from the Spanish Ministry of Education, Culture and Sports.es_ES
dc.language.isospaes_ES
dc.publisherSpringer International Publishinges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectMovilidad de desplazamientoes_ES
dc.subject.otherEvolutionary algorithmes_ES
dc.subject.otherSUMOes_ES
dc.subject.otherSmart Mobilityes_ES
dc.subject.otherSmart cityes_ES
dc.subject.otherTraffic simulationes_ES
dc.titleAn Evolutionary Algorithm to Generate Real Urban Traffic Flowses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitleXVI edición de la Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'15)es_ES
dc.relation.eventplaceAlbacete, Españaes_ES
dc.relation.eventdatenoviembre de 2015es_ES
dc.cclicenseby-nc-ndes_ES


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