Traffic Control System Using Image Proccesing

The problem of traffic congestion needs to be addressed in an efficient way, specially in the country like India where this is a very big problem due to huge population. The present traffic control systems that are used are either manually controlled or automatic controlling system with static time allocation, both have certain drawbacks, one requires more man power to operate and is less efficient and other uses static time allocation which results in wastage of time. In this paper image processing technique is used to control traffic congestion by dynamically allocating time to release vehicles depending upon on the density of vehicles on roads. The proposed work uses Canny Edge detection, Gaussian Blur and Density calculation algorithms.