DOI: 10.36347/sjet

Pages: 55-62

As the problem of traffic congestion increases, an optimal method to control traffic signalling has become important. We propose a system where traffic signalling is done based on the density of traffic on a particular lane. For a particular lane, a camera will be installed alongside the traffic lights. Live video feed from these cameras will be broken down into image frames to determine congestion level in each lane. An array of image processing techniques will be implemented on each image frame to determine the traffic density in each lane. After the video is acquired and broken down into image frames, the image is converted from RGB to a grayscale image. Following that, power law transformation is applied as an enhancement technique. Canny edge detection is performed on the enhanced image and finally a window based image matching technique is applied to determine the congestion level of a particular lane. This is done for all the lanes and correspondingly the duration and order of signalling is scheduled. The proposed system also detects emergency vehicles such as ambulance and preferential clearance is given to them. The system is also capable of detecting traffic violation and identifying a violating vehicle.