Genetic algorithm application for traffic light control

Ayad M. Turky, M. S. Ahmad, Mohd Zaliman Mohd Yusoff, N. R. Sabar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation Systems
Subtitle of host publicationModeling, Development, and Integration - Third International United Information Systems Conference, UNISCON 2009, Proceedings
PublisherSpringer Verlag
Pages115-120
Number of pages6
ISBN (Print)9783642011115
DOIs
Publication statusPublished - 01 Jan 2009
Event3rd International United Information Systems Conference, UNISCON 2009 - Sydney, NSW, Australia
Duration: 21 Apr 200924 Apr 2009

Publication series

NameLecture Notes in Business Information Processing
Volume20 LNBIP
ISSN (Print)1865-1348

Other

Other3rd International United Information Systems Conference, UNISCON 2009
CountryAustralia
CitySydney, NSW
Period21/04/0924/04/09

Fingerprint

Telecommunication traffic
Genetic algorithms
Traffic
Genetic Algorithm
Crosswalks
Controller
Sensor
Controllers
Sensors
Intersection
Calculate
Genetic algorithm
Design
Pedestrian

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modelling and Simulation
  • Information Systems and Management

Cite this

Turky, A. M., Ahmad, M. S., Mohd Yusoff, M. Z., & Sabar, N. R. (2009). Genetic algorithm application for traffic light control. In Information Systems: Modeling, Development, and Integration - Third International United Information Systems Conference, UNISCON 2009, Proceedings (pp. 115-120). (Lecture Notes in Business Information Processing; Vol. 20 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-01112-2_12
Turky, Ayad M. ; Ahmad, M. S. ; Mohd Yusoff, Mohd Zaliman ; Sabar, N. R. / Genetic algorithm application for traffic light control. Information Systems: Modeling, Development, and Integration - Third International United Information Systems Conference, UNISCON 2009, Proceedings. Springer Verlag, 2009. pp. 115-120 (Lecture Notes in Business Information Processing).
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Turky, AM, Ahmad, MS, Mohd Yusoff, MZ & Sabar, NR 2009, Genetic algorithm application for traffic light control. in Information Systems: Modeling, Development, and Integration - Third International United Information Systems Conference, UNISCON 2009, Proceedings. Lecture Notes in Business Information Processing, vol. 20 LNBIP, Springer Verlag, pp. 115-120, 3rd International United Information Systems Conference, UNISCON 2009, Sydney, NSW, Australia, 21/04/09. https://doi.org/10.1007/978-3-642-01112-2_12

Genetic algorithm application for traffic light control. / Turky, Ayad M.; Ahmad, M. S.; Mohd Yusoff, Mohd Zaliman; Sabar, N. R.

Information Systems: Modeling, Development, and Integration - Third International United Information Systems Conference, UNISCON 2009, Proceedings. Springer Verlag, 2009. p. 115-120 (Lecture Notes in Business Information Processing; Vol. 20 LNBIP).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Turky AM, Ahmad MS, Mohd Yusoff MZ, Sabar NR. Genetic algorithm application for traffic light control. In Information Systems: Modeling, Development, and Integration - Third International United Information Systems Conference, UNISCON 2009, Proceedings. Springer Verlag. 2009. p. 115-120. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-642-01112-2_12