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Genetic algorithm application for traffic light control

In 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 veh...

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Main Authors: Turky, A.M., Ahmad, M.S., Yusoff, M.Z.M., Sabar, N.R.
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Published: 2017
Online Access:http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5654
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spelling my.uniten.dspace-56542017-11-21T04:08:56Z Genetic algorithm application for traffic light control Turky, A.M. Ahmad, M.S. Yusoff, M.Z.M. Sabar, N.R. In 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. 2017-11-21T04:08:56Z 2017-11-21T04:08:56Z 2009 http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5654
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description In 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.
format
author Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Sabar, N.R.
spellingShingle Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Sabar, N.R.
Genetic algorithm application for traffic light control
author_facet Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Sabar, N.R.
author_sort Turky, A.M.
title Genetic algorithm application for traffic light control
title_short Genetic algorithm application for traffic light control
title_full Genetic algorithm application for traffic light control
title_fullStr Genetic algorithm application for traffic light control
title_full_unstemmed Genetic algorithm application for traffic light control
title_sort genetic algorithm application for traffic light control
publishDate 2017
url http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5654
_version_ 1644493744405217280
score 13.214268

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