DEVELOPING THE ALGORITHM FOR MONITORING AND WARNING THE VEHICLE DENSITY IN DIRECTIONS OF CROSSROAD USING ANDROID'S GPS

Abstract

Currently, traffic jam is happening quite seriously during rush hour at intersections, industrial areas, being repaired roads or due to a collision in traffic, etc. So, in this research paper, the authors develop an algorithm to track traffic density in the directions of the crossroads and warn the driver when there is a traffic jam ahead. The authors use GPS system (global positioning system) on the Android devices. These devices are attached on the traffic vehicle or carried with the driver (Android phone), thereby calculating and synchronizing the number of traffics of the crossroad to Firebase. The application is installed the algorithm which can add and remove the intersections to be tracked, identify the number of vehicles in the directions of the crossroad, calculate the distance between the vehicle and the crossroads and send warning to the driver when there is a crowded spot. Vehicle density is accurately determined without depending on environmental factors such as dark, rainy, etc.