Real-time video monitoring of vehicular traffic and adaptive signal change using Raspberry Pi

Traffic congestion is a major predicament these days. Even though it pervades all over, urban cities are the ones most affected by it which leads to major wastage of time on traffic junctions. While insufficient road capacity and ever-increasing demand are somewhat interdependent, the delay of respective traffic lights is hardcoded and not reliant on traffic intensity. Therefore, the need for simulating and optimizing traffic control in real-time to better accommodate this increasing demand arises. This paper presents a method to use live video feed from the cameras at traffic junctions for real-time traffic density estimation. It also focuses on providing an effective traffic light switch timer according to the vehicle density, thereby aiming at reducing the traffic congestion on roads.