Smart Traffic Control System Using Time Management

Abstract

An automated Raspberry Pi based traffic control system using sensors along with live web updates can be a helpful step in optimizing the traffic flow pattern in busy intersections. This intuitive design of the transport infrastructure can help alleviate the traffic congestion problem in crowded cities. This system describes a system where photoelectric sensors are integrated with the Raspberry Pi to operate the lanes of an intersection based on the density of traffic. The current condition of the intersection is updated on a user accessible website. In this system, we will use photoelectric sensors to measure the traffic density. We have to mount four photoelectric sensors for each road; the distance between these sensors will depend on nature of traffic on a particular junction. These sensors will sense the traffic on that particular road. As a result, the improvement in traffic system can be incrementally enhanced, which can lead to eventually significant improvement in the overall traffic system.