Intelligent Traffic Light Control using Image Processing

Abstract

Today, the major problems that cities face is that of traffic. Empty roads are becoming a luxury nowadays. Heavy traffic eventually means high waiting time at the traffic signal. The traffic light timers at squares are set according to the average amount of traffic flow at these squares. This results in traffic congestion at certain junctions due to sudden changes in traffic density. These sudden changes in traffic densities resulting in the need for a smart system that could efficiently handle traffic congestion based on the density of traffic. This paper discusses some of the existing traffic light control systems, their drawbacks as well as our proposed system where we are trying to avoid the drawbacks of existing systems. The main motto of our project is to provide a smooth flow of traffic and to reduce the time duration for which one has to stand at the traffic signal.We have achieved this by using raspberry pi processors and pi cameras corresponding to the four traffic lanes.The cameras will monitor the density of vehicles of standing at the signal using image processing.In addition to that, we will be providing automated number plate recognition as well as speed monitoring in the night time.