Document Type : Primary Research paper
Department of CSE,PSG College of Technology,Coimbatore, India
The explosion in the world population has raised the number of vehicles exponentially during the last decade. Vehicular travel is increasing throughout the world, particularly in large urban areas. The traffic has become a major cause for atrocities in the cities as it may lead to indecorum and road rages. And therefore the need arises for improving traffic control algorithms to overcome increasing demands. This paper provides an approach to deal with traffic congestion by considering density of the traffic. The approach comprehends the traffic congestion pertaining in the urban cities. Detection vehicles is identified through images rather than using electronic sensors. According to traffic conditions, the road traffic light can be controlled. This smart system is intended to control the traffic using electronic sensors and magnetic loop detectors. Forward detection, background subtraction and segmentation are used for calculating the density of vehicles. Furthermore, Round Robin scheduling algorithm with priority scheduling is implemented for varying the light timers at the signal. The system is capable of analyzing the traffic by calculating the number of vehicles using boundary detection in image processing. The system is adaptive to the various loads of vehicles at different times.