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dc.contributor.authorStolfi, Daniel H.
dc.contributor.authorAlba-Torres, Enrique 
dc.date.accessioned2013-07-16T11:28:04Z
dc.date.available2013-07-16T11:28:04Z
dc.date.issued2013
dc.identifier.citationProceedings of the Genetic and Evolutionary Computation Conference, 1373-1380es_ES
dc.identifier.urihttp://hdl.handle.net/10630/5630
dc.description.abstractThis work presents an original approach to regulate traffic by using an on-line system controlled by an EA. Our proposal uses computational spots with WiFi connectivity located at traffic lights (the Red Swarm), which are used to suggest alternative individual routes to vehicles. An evolutionary algorithm is also proposed in order to find a configuration for the Red Swarm spots which reduces the travel time of the vehicles and also prevents traffic jams. We solve real scenarios in the city of Malaga (Spain), thus enriching the OpenStreetMap info by adding traffic lights, sensors, routes and vehicle flows. The result is then imported into the SUMO traffic simulator to be used as a method for calculating the fitness of solutions. Our results are competitive compared to the common solutions from experts in terms of travel and stop time, and also with respect to other similar proposals but with the added value of solving a real, big instance.es_ES
dc.description.sponsorshipMinisterio de Economía y Competitividad y FEDER (TIN2011-28194)es_ES
dc.language.isoenges_ES
dc.publisherACMes_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComputación evolutivaes_ES
dc.subjectAlgoritmos genéticoses_ES
dc.subject.otherApplicationes_ES
dc.subject.otherevolutionary algorithmes_ES
dc.subject.otherroad traffices_ES
dc.subject.othersmart cityes_ES
dc.subject.othersmart mobilityes_ES
dc.subject.otherWiFi connectionses_ES
dc.titleRed Swarm: Smart Mobility in Cities with EAses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES


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