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An Evolutionary Algorithm to Generate Real Urban Traffic Flows
dc.contributor.author | Stolfi, Daniel H. | |
dc.contributor.author | Alba-Torres, Enrique | |
dc.date.accessioned | 2015-11-18T11:57:32Z | |
dc.date.available | 2015-11-18T11:57:32Z | |
dc.date.created | 2015 | |
dc.date.issued | 2015 | |
dc.identifier.citation | D. 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.uri | http://hdl.handle.net/10630/10700 | |
dc.description.abstract | In 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.sponsorship | Universidad 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.iso | spa | es_ES |
dc.publisher | Springer International Publishing | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Movilidad de desplazamiento | es_ES |
dc.subject.other | Evolutionary algorithm | es_ES |
dc.subject.other | SUMO | es_ES |
dc.subject.other | Smart Mobility | es_ES |
dc.subject.other | Smart city | es_ES |
dc.subject.other | Traffic simulation | es_ES |
dc.title | An Evolutionary Algorithm to Generate Real Urban Traffic Flows | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.centro | E.T.S.I. Informática | es_ES |
dc.relation.eventtitle | XVI edición de la Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'15) | es_ES |
dc.relation.eventplace | Albacete, España | es_ES |
dc.relation.eventdate | noviembre de 2015 | es_ES |
dc.rights.cc | by-nc-nd |