Paper Details

Traffic management is becoming one of the most important issues in rapidly growing cities. Due to badtraffic management a lot of man-hours are being wasted and increase in pollution level. Increasing Congestion onhighways and problems associated with existing detectors has generated an interest in vehicle detection technologiessuch as video image processing. Regarding this problem, development a self-adaptive system which can help in bettertraffic management using the technique of image processing is a necessity. Existing commercial image processingsystems 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 tocalculate traffic density is cost effective as cameras are cheaper and afffordable devices compared to any other devicessuch as sensors. Using the information obtained the development of an android application will be done, in which theuser will get the traffic density at the location of choice.

Bhakti Viramgama, Prof. Hetal Chauhan, “An Application of Image Processing: Traffic Management”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 6, pp. 386-391, June 2016.