Publication:
Genetic algorithm application for traffic light control

dc.citedby8
dc.contributor.authorTurky A.M.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorYusoff M.Z.M.en_US
dc.contributor.authorSabar N.R.en_US
dc.contributor.authorid25825717300en_US
dc.contributor.authorid7402895985en_US
dc.contributor.authorid22636590200en_US
dc.contributor.authorid25825697600en_US
dc.date.accessioned2023-12-29T07:54:28Z
dc.date.available2023-12-29T07:54:28Z
dc.date.issued2009
dc.description.abstractIn this paper, we describe the design of an intelligent traffic light control based on genetic algorithm. This paper is part of our work in which we attempt to use genetic algorithm in traffic light control and pedestrian crossing. In our approach, we use four sensors; each sensor calculates the vehicle density for each lane. We developed an algorithm to simulate the situation of an isolated intersection (four lanes) based on this technology. We then compare the performance between the genetic algorithm controller and a conventional fixed time controller. � 2009 Springer Berlin Heidelberg.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-642-01112-2_12
dc.identifier.epage120
dc.identifier.scopus2-s2.0-65349145239
dc.identifier.spage115
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-65349145239&doi=10.1007%2f978-3-642-01112-2_12&partnerID=40&md5=760e4ced4ea8e18a276c8ca5fb137e45
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30844
dc.identifier.volume20 LNBIP
dc.pagecount5
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Business Information Processing
dc.subjectControllers
dc.subjectGenetic algorithms
dc.subjectInformation systems
dc.subjectSensors
dc.subjectFixed time
dc.subjectGenetic algorithm applications
dc.subjectIsolated intersections
dc.subjectPedestrian crossings
dc.subjectTraffic light controls
dc.subjectVehicle densities
dc.subjectGenetic engineering
dc.titleGenetic algorithm application for traffic light controlen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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