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Using genetic algorithm for traffic light control system with a pedestrian crossing

In this paper, we explore the use of genetic algorithm and implementing the technology to improve the performance of traffic light and pedestrian crossing control in a four-way, two-lane traffic junction. The algorithm resolves the limitations of traditional fixed-time control for passing vehicles a...

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主要な著者: Turky, A.M., Ahmad, M.S., Yusoff, M.Z.M., Hammad, B.T.
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出版事項: 2017
オンライン･アクセス:http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5652
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spelling my.uniten.dspace-56522017-11-21T04:08:55Z Using genetic algorithm for traffic light control system with a pedestrian crossing Turky, A.M. Ahmad, M.S. Yusoff, M.Z.M. Hammad, B.T. In this paper, we explore the use of genetic algorithm and implementing the technology to improve the performance of traffic light and pedestrian crossing control in a four-way, two-lane traffic junction. The algorithm resolves the limitations of traditional fixed-time control for passing vehicles and pedestrians. It employs a dynamic system to control the traffic light and pedestrian crossing that monitors two sets of parameters: the vehicle and pedestrian queues behind a red light and the number of vehicles and pedestrians that passes through a green light. The algorithm dynamically optimizes the red and green times to control the flow of both the vehicles and the pedestrians. Performance comparisons between the genetic algorithm controller and a fixed-time controller reveal that the genetic algorithm controller performs significantly better. © 2009 Springer Berlin Heidelberg. 2017-11-21T04:08:55Z 2017-11-21T04:08:55Z 2009 http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5652
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 explore the use of genetic algorithm and implementing the technology to improve the performance of traffic light and pedestrian crossing control in a four-way, two-lane traffic junction. The algorithm resolves the limitations of traditional fixed-time control for passing vehicles and pedestrians. It employs a dynamic system to control the traffic light and pedestrian crossing that monitors two sets of parameters: the vehicle and pedestrian queues behind a red light and the number of vehicles and pedestrians that passes through a green light. The algorithm dynamically optimizes the red and green times to control the flow of both the vehicles and the pedestrians. Performance comparisons between the genetic algorithm controller and a fixed-time controller reveal that the genetic algorithm controller performs significantly better. © 2009 Springer Berlin Heidelberg.
format
author Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Hammad, B.T.
spellingShingle Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Hammad, B.T.
Using genetic algorithm for traffic light control system with a pedestrian crossing
author_facet Turky, A.M.
Ahmad, M.S.
Yusoff, M.Z.M.
Hammad, B.T.
author_sort Turky, A.M.
title Using genetic algorithm for traffic light control system with a pedestrian crossing
title_short Using genetic algorithm for traffic light control system with a pedestrian crossing
title_full Using genetic algorithm for traffic light control system with a pedestrian crossing
title_fullStr Using genetic algorithm for traffic light control system with a pedestrian crossing
title_full_unstemmed Using genetic algorithm for traffic light control system with a pedestrian crossing
title_sort using genetic algorithm for traffic light control system with a pedestrian crossing
publishDate 2017
url http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5652
_version_ 1644493743829549056
score 13.251813

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