Image Processing Based Traffic Light Control

                Traffic lights are most important part in modern roads. But there some problems in the traffic lights. Green light for empty roads and red light for maximum vehicles present on the road are the major problems in traffic lights. So many people try to solve these problems. As a result of it Omkar Ramdas Gaikwad, Anil  Vishwasrao,   Prof. Kanchan Pujari and  Tejas Talathi found a solution for it. They introduced a Image Processing Based Traffic Light Controlar to the world.

              In this project they have used video camera. Camera is shooting video and the video is then converted to sequence of images by taking snapshots. By taking images we can get a basic idea about the real traffic condition. In this technique they would be drawing lines of green colour at an arbitrary distance in the road.  By using that lines they can calculate the traffic density of the road. In here the camera would be placed at the signal which would be focusing on the line drawn. In this project they used the MATLAB software and the entire algorithm for image processing is implemented in MATLAB.

                First they get the real time traffic image and converted it in to grayscale. After that green colour subtraction is done for measuring pixel count. Then they converted this image to black and white format. As a result of it the green strip area is in white colour and background is in black. Then they measured the white pixel area of the image. If  the white area pixel is very low the traffic is very high. As well as the white pixel area is very high the traffic is very low. After getting the pixel count they generate the final result.

               If the traffic is very high the green light active for 35 seconds. If the traffic is medium the green light active for 30 seconds. If the traffic is very low the green light active for 25 seconds. If there is no traffic red light active.

                I think this is a good technique to control the traffic lights. We can use these decision making models and algorithms for our project also. Then we can build a better technique to control the traffic lights.

• References :-

Omkar Ramdas Gaikwad, Anil Vishwasrao, Prof. Kanchan Pujari, Tejas Talathi, "Image Processing Based Traffic Light Control" , International Journal of Science, Engineering and Technology Research (IJSETR) , Volume 3, Issue 4, April 2014