An Integrated Model to Control Traffic Lights: Controlling of Traffic Lights in Multiple Intersections using Fuzzy Logic and Genetic Algorithm

  title={An Integrated Model to Control Traffic Lights: Controlling of Traffic Lights in Multiple Intersections using Fuzzy Logic and Genetic Algorithm},
  author={Khaled Abdul Rahman Jomaa and Cheng jack Kie},
  journal={Asian Journal of Business and management},
  • K. Jomaa, C. Kie
  • Published 15 February 2017
  • Computer Science, Business
  • Asian Journal of Business and management
In this paper we propose an integrated model combines Fuzzy Logic (FL) and Genetic Algorithm (GA), utilizing their applications in order to minimize the traffic congestion and traffic delay, through controlling traffic light system in three proposed traffic intersections. The proposed model in this paper will adjust the timing and phasing of the green traffic lights according to the current situation in the proposed traffic intersections; each intersection is supposed to be controlled by… 

Figures and Tables from this paper


Design and Analysis of a Two Stage Traffic Light System Using Fuzzy Logic
A two stage traffic light system for real-time traffic monitoring has been proposed to dynamically manage both the phase and green time of traffic lights for an isolated signalized intersection with the objective of minimizing the average vehicle delay in different traffic flow rate.
The Use of Genetic Algorithm for Traffic Light and Pedestrian Crossing Control
The genetic algorithm technology in the traffic control system and pedestrian crossing is applied to provide intelligent green interval responses based on dynamic traffic load inputs, thereby overcoming the inefficiencies of the conventional traffic controllers.
TLCSBFL: A Traffic Lights Control System Based on Fuzzy Logic
This research presents an application of fuzzy logic for multi-agent based autonomous traffic lights control system using wireless sensors to overcome problems like congestion, accidents, speed, and traffic irregularity.
Control of a complex traffic junction using fuzzy inference
The proposed fuzzy traffic lights controller is capable of communicating with neighbor junctions and manages phase sequences and phase lengths adaptively and has been developed to show the effectiveness of the fuzzy traffic controller.
Time Optimization for Traffic Signal Control Using Genetic Algorithm
By comparing the experimental result obtained by the fixed time and real time based traffic systems which improves significant performance for intersections, the efficiency of the intelligent real-time based control system is confirmed.
Distributed and cooperative fuzzy controllers for traffic intersections group
A fuzzy traffic controller for a set of intersections and its simulation results are presented and the proposed method is compared with the vehicle actuated method which is one of the typical conventional methods.
Malaysia economic monitor : transforming urban transport
After a strong finish in 2014, growth moderated in early 2015. Growth is projected to slow to 4.7 percent in 2015 before normalizing to 5.0 percent in 2016. Despite signs of recovery in 2014, exports
Google Forms
  • Google
  • 2016
Development of a Stochastic Genetic Algorithm for Traffic Signal Timings Optimization
  • 2014
The World Bank (2015) Malaysia Economic Monitor