It is also more reliable in estimating vehicle presence because it uses actual traffic images.
It shows that it can decrease traffic congestion and avoids the time being wasted by a green light on an empty road. Image processing is a better technique to control the state change of the traffic light.
A camera will be placed alongside the traffic light. The vehicles are detected by the system through images instead of using electronic sensors embedded in the pavement. In further stages, multiple traffic lights can be synchronized with each other with an aim of even less traffic congestion and free flow of traffic. It will also provide significant data which will help in future road planning and analysis. In turn, it will provide safe transit for people and reduce fuel consumption and waiting time. It also focuses on the algorithm for switching the traffic lights according to vehicle density on the road, thereby aiming at reducing the traffic congestion on roads which will help lower the number of accidents. The solution we provide for Traffic management is by having a special intelligence which the images of road feed from the cameras (webcam or IP camera) at traffic junctions for real-time traffic density calculation using image processing. Traffic Density Monitoring using Raspberry Pi and OpenCV
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