Improved Prediction Density Measuring Technique of Traffic in India using Poisson Distribution

Abstract

In present time, technology world move faster day by day and Intelligent Transportation System (ITS) work as a new technology as well as improving technology which is used for transportation. Our work is to resolve the problem that comes in day to day life related to Vehicles. We made a technique which helps us to avoid congestion and route changing and also used sensors for V2V (Vehicle to Vehicle) communication and V2I (Vehicle to infrastructure) communication. This Density Measuring proposed technique helpful for Calculating number of vehicles, routes, intersections, junction, speed of a particular vehicle, average speed of the vehicles on the same lane, in which vehicle on the map of five cities at a particular instance of time has been estimated. After estimation of traffic vehicle on the road, the prediction of that Traffic on the roads has been done. For generation of values Simulation of Urban Mobility (SUMO) simulator is used. The computed values have been used for estimating the density of vehicles for different cities based on different road side scenarios. For random generation of vehicles Poisson distribution has been used and the obtained values have been evaluated to compare the densities of vehicles for these five cities. Finally the realistic comparison between the densities of roads on different cities has been done.