Abstract:
Traffic congestion is one of the major issues in the present-day world. The existing traffic signal control works either on a fixed time delay basis irrespective of the vehicle density, or uses sensor based detection of vehicles. With the rapid increase in vehicle usage, such a system can prove to be inefficient causing a lot of losses. The aim of our project is to help reduce traffic congestion problem in Pakistan. It is specially designed for the infrastructure of Islamabad. It uses latest machine learning and image processing techniques to detect vehicles efficiently on the road and determine the vehicle count. The information is then used as an input to help decide the traffic flow time for each road around a traffic signal. In addition, emergency vehicles like local Pakistani ambulances will also be detected and prioritized, saving numerous innocent lives. The final output is shown using a Graphical User Interface (GUI) that depicts a traffic signal for a 4-junction road.
