R E AL TIME TRAFFIC LIGHT CONTROLLER
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 4)Publication Date: 2017-04-30
Authors : Dharamjit Yadav; Dheeraj Patil; K ishan Panchal; Vaibhav Patil; John K e nny;
Page : 34-38
Keywords : Image Processing; Vehicle Count; Lane Density; Traffic Light System; Edge Detection;
Abstract
T here is enormous increase in population of city and number of vehicles on the road day by day. With this increasing urban population and the number of vehicles, need to control streets, highways and roads become major issue. The main issue behind today's traffic problem is the techniques that are used for traffic management. Today's traffic manageme nt system has no prominence on live traffic scenario, which leads to ineffective traffic management systems. These traffic timers just have the preset time. This is similar to using open loop system. The proposed system incorporate a closed loop system usi ng camera, thus making it possible to predict the exact time on traffic light timers. The traffic light timers are showing correct time to regulate the traffic, thus the time wasted on undesired green signals (green signal, when there is no traffic) will b e 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 effective. This project is being implemented by using the Matlab software and it aims to prevent heavy traffic congestion. This project measures 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 recorded by a camera. A web camera is placed in a traffic la ne that will record images of the road on which we want to control traffic. Then these images are efficiently processed to know the traffic density. According to the computed data from Matlab, the controller will send the command to the traffic LEDs to sho w particular time on the signal to manage traffic.
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Last modified: 2017-04-06 19:33:56