Traffic Light Optimization using Fuzzy Logic and Genetic Algorithim

Abstract

Traffic congestion in the major issue in smart city,as it causes a lot of environmental pollution and difficulty in transportation, which leads to difficult daily life for the human beings in addition to material losses. In this work a smart traffic congestion time estimated model was designed using fuzzy logic and image processing with MATLAB, to control movement in two ways, aided by a camera and auto sensors. The Fuzzy logic has two inputs and one outputs designed, the console input is the number of cars on each road and the estimated time of the congestion on road. Our system can be employed in solving the problem of traffic congestion in the all smart cities.