Review on Traffic Density Analysis Techniques using Image Processing

From city roads to highways, a lot of traffic problems occur everywhere in today’s world. An Excessive number of vehicles on roads and improper methods of controlling the traffic creates traffic congestion which leads to wastage of time and increases the pollution. This frequent traffic jams problem leads to a rise of the need for an efficient and proper traffic management system. Existing methods work well in free-flow traffic but in the case of heavy congestion, these methods face challenges. Current traffic control techniques involving magnetic loop detectors buried inside the road, infra-red and radar sensors on the side provide limited traffic information. The use of image processing helps in the proper management of traffic even in shadows and various lighting conditions and it is also cost effective as the devices it requires like sensors, cameras are cheaper than for other solutions. Comparison and survey of all these methods is shown in this paper which concluded that use of canny edge detection method makes an analysis of traffic comparatively efficient.