Intelligent Traffic Signal Control System Using Vehicle Detection
Abstract
Traffic jams in cities are getting worse as more number of cars hit the road. But most of the traffic systems still use fixed time signals. These systems give all lanes the same amount of green and red time, no matter what the traffic conditions are like. This often leads to wasting time on empty roads, waiting longer on busy roads, using more gas, polluting the air, and making drivers mad. Intelligent Traffic Control System might be able to help in these situations. This system helps in changing how traffic moves by using Deep Learning and Computer Vision. YOLOv8 is a new object detection model that can find cars, buses, trucks, and motorcycles. The system looks at how many vehicles on the road and adjusts the traffic lights. It gives time to the lanes that have a lot of traffic. One good thing about this system is that it can tell when an emergency vehicle is coming. It knows when an ambulance, fire engine or police car is on the way and it changes the lights so they can get through. This system helps with traffic because it can look at what’s happening and make changes. Helps cities have better transportation systems. The system reduces traffic jams which make traffic flow better and makes the roads clear, for the vehicles including the ambulances, fire engines and police vehicles.