Smart Traffic Management System

Abstract

Traffic is a major obstacle faced by all metropolitan cities. This is due to the exponential increase in the number of vehicles on the road but the infrastructure for road transportation remains the same. Most of the cities still rely on conventional traffic signaling which is controlled manually or time based. This conventional system used around the world is not efficient as it lacks useful data from reliable real-time sources to clear the way for emergency vehicles during heavy traffic conditions and accident situations. Due to this Traffic flowing to a junction from all the directions at a given time is unequal. A smart traffic management is a system, where traffic is controlled by the management system, which controls the traffic lights in accordance with the real time situation of traffic moving from all different directions in a junction. This real time data is collected either from google maps or from various sensors placed at equal intervals of distance at a junction. This data is collected and brought to a control system which autonomously calculates the optimum time for the release of the green signal. We are aiming to solve the issue of traffic by efficiently controlling the signaled intersections in cities by presenting an algorithm based on comparative real time data analysis using IoT.