Density Based Traffic Signal System Using Matlab

Abstract

Due to aware of the fact that, the population of city and number of vehicles on the road are increasing day by day. With increasing urban population and hence the number of vehicles, need of controlling streets, highways and roads is major issue. The main reason behind today’s traffic problem is the techniques that are used for traffic management. Today’s traffic management system has no emphasis on live traffic scenario, which leads to inefficient traffic management systems. These traffic timers just show the preset time. This is like using open loop system. If we incorporate a closed loop system using camera, it is possible to predict the exact time on traffic light timers. If the traffic light timers are showing correct time to regulate the traffic, then the time wasted on unwanted green signals (green signal, when there is no traffic) will be saved. Timer for every lane is the simplest way to control traffic. And if those timers are predicting exact time then automatically the system will be more efficient. This project has been implemented by using the Matlab software and it aims to prevent heavy traffic congestion. This project measure the number of vehicles present on the road. Moreover, for implementing this project Image processing technique is used. At first, film of a lane is captured by a camera. A web camera is placed in a traffic lane that will capture images of the road on which we want to control traffic. Then these images are efficiently processed to know the traffic density on the number of count of vehicles. According to the processed data from Matlab, the controller will send the command to the traffic LEDs to show particular time on the signal to manage traffic.