Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Turky, A.M., Ahmad, M.S., Yusoff, M.Z.M., Sabar, N.R.
Format: Article
Language:English
Published: 2017
Subjects:
Vehicles
Fuzzy logic
Sensors
Control systems
Mathematical model
Online Access:http://dspace.uniten.edu.my:8080/jspui/handle/123456789/525
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-525
record_format dspace
spelling my.uniten.dspace-5252017-07-30T22:14:58Z Genetic algorithm application for traffic light control Turky, A.M. Ahmad, M.S. Yusoff, M.Z.M. Sabar, N.R. Vehicles Fuzzy logic Sensors Control systems Mathematical model 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. 2017-07-27T03:26:20Z 2017-07-27T03:26:20Z 2008-08 Article http://dspace.uniten.edu.my:8080/jspui/handle/123456789/525 10.1109/ITSIM.2008.4631591 en
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/
language English
topic Vehicles
Fuzzy logic
Sensors
Control systems
Mathematical model
spellingShingle Vehicles
Fuzzy logic
Sensors
Control systems
Mathematical model
Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Sabar, N.R.
Genetic algorithm application for traffic light control
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 Article
author Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Sabar, N.R.
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/123456789/525
_version_ 1644492280491409408
score 13.214268

Similar Items