Automated Traffic Signals using Real-Time Traffic Densities

Abstract

The ever-increasing problem of traffic is taking a toll on the commuters’ daily routine wherein a significant amount of time of the day is consumed in travelling itself. With expanding movement, the suburbanites are required to stop for longer lengths at activity intersections sitting tight for the green signs bringing about loss of time and fuel. To check this issue, this paper proposes a brilliant activity control framework which powerfully changes the signs continuously by breaking down and looking at the movement at different intersections. The proposed methodology utilizes Hadoop to process vast measure of information. The densities at different sides are compared using theK-Means Clustering algorithm. The comparison output is obtained and fed back to the traffic signal devices which respond by changing signals in an optimized manner.