Traffic Density Management using Round Robin scheduling with Varied Time Quantum and Traffic Analysis

Abstract

This paper suggests a solution to the problem of traffic management in metropolitan cities. The current technique of managing traffic uses traffic signals with fixed time cycles for each direction of traffic, without taking the amount of vehicles into consideration. This paper illustrates an adaptive system where signal cycles change based on traffic densities of each direction of vehicles. This system will calculate density using infrared sensors that will perform vehicle counting, along with road dimensions. This density is added to a relational database. Further analysis is done to calculate other important parameters that will contribute to deciding the time cycle that the signal will assign to that direction. The main aim of this study is to reduce the amount of time a vehicle has to spend at an intersection, or any such point on a road where traffic is controlled by signals and to analyze the traffic flow at a cross junction.