Adaptive Traffic Control System Using YOLO
S Sirphy, S. Thanga Revathi
Abstract
The fact is that, the population and numbers of vehicles on the road are increasing day by day. With increasing population and hence number of vehicles, traffic jam is becoming one in every of the crucial issues. The effect of hold-up consumes the time of the drivers and to compensate for the time wasted at the traffic signal the drivers drive the vehicle in over speed and violate the traffic rules. The rash driving may also have a chance of meeting accidents. Also, the effect of the hold-up of the vehicle on the road for a long time increases air pollution. One of the factor that affects the traffic flow is the traffic signal management system we use today. To beat the issues of traditional control systems there’s a shift in adaption to an Adaptive control system. The Adaptive control System (ATCS) could be a traffic management technique that modifies the timing of traffic signals supported the traffic density. The proposed system uses image processing and AI to detect the vehicles present on the road by using traffic cameras at the traffic junction. The signal switching algorithm is based on the real-time traffic density calculated by the live images acquired by the traffic cameras to scale back the traffic congestion.