An Application of Image Processing: Traffic Management

Abstract

Traffic management is becoming one of the most important issues in rapidly growing cities. Due to bad
traffic management a lot of man-hours are being wasted and increase in pollution level. Increasing Congestion on
highways and problems associated with existing detectors has generated an interest in vehicle detection technologies
such as video image processing. Regarding this problem, development a self-adaptive system which can help in better
traffic management using the technique of image processing is a necessity. Existing commercial image processing
systems work well in free-flowing traffic, but the systems have difficulties with traffic congestion. The suggested featurebased tracking system will detect vehicles under various challenging conditions. Using image processing operations to
calculate traffic density is cost effective as cameras are cheaper and afffordable devices compared to any other devices
such as sensors. Using the information obtained the development of an android application will be done, in which the
user will get the traffic density at the location of choice.