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dc.creatorSilva, Jesús
dc.creatorValera, Noel
dc.creatorPineda, Omar
dc.date.accessioned2020-04-17T00:15:58Z
dc.date.available2020-04-17T00:15:58Z
dc.date.issued2020-12-07
dc.identifier.urihttps://hdl.handle.net/11323/6211
dc.description.abstractThe routes and streets make it possible to drive and travel through the cities, but unfortunately traffic and particularly congestion leads to drivers losing time while traveling from one place to another, because of the time it takes to transit on the roads, in addition to waiting times by traffic lights. This research introduces the extension of an agent-oriented system aimed at reducing driver waiting times at a street intersection. The simulation environment was implemented in NetLogo, which allowed comparison of the impact of Smart traffic light use versus a fixed-time traffic light.spa
dc.language.isoengspa
dc.publisherUniversidad de la Costaspa
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectMulti-agent systemsspa
dc.subjectAgent-oriented programmingspa
dc.subjectTrafficspa
dc.subjectNetLogospa
dc.titleOptimizing street mobility through a netlogo simulation environmentspa
dc.typePreprintspa
dc.type.hasVersioninfo:eu-repo/semantics/draftspa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa


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CC0 1.0 Universal
Except where otherwise noted, this item's license is described as CC0 1.0 Universal