Machine vision assisted elimination of traffic using intelligent control

摘要

The traffic density on roads has been on an exponential rise since the advent of automobile revolution. Since then there has been some approaches for traffic management such as traffic light control based on load, traffic density calculation based on IR etc. An efficient algorithm using image processing techniques and intelligent control is proposed to completely obliterate traffic. The prototype has been developed and successfully tested using a miniature model of a rover and a wall mounted camera. In real time environments, this setup is analogous to cars with GPS and satellite cameras giving live traffic data on roads. The algorithm works in such a way that the vehicles are tuned to move at a calculated speed at which they avoid stopping at traffic signals which leads to reduction of traffic. This approach also helps us in the reduction of vehicle particulate emissions and improving the fuel efficiency, battery life in case of electric vehicles.