Advance Anti-collision Device for Vehicles Using GPS and Zigbee

Abstract

Reckless driving has been a common problem in Indian roads since the very introduction of transport. There is a dearth of innovation in technical know-how in the automobile sector as comfort is given the utmost priority. Every day accidents reign the roads as a consequence of automobile collision. The state-of-the-art figures reveal that only a few of the high-end vehicles have access to the robust collision detection and avoidance systems which is far from reach of the common people due to pecuniary issues. The technology used currently in high-end vehicles cannot control its impending peers from any direction and successively does not accomplish avoidance entirely and efficiently. This paper proposes a safety system which functions as a secondary controller of the vehicles and automates the speed of every vehicle nearby up to a certain range with the help of Xbee and Arduino UNO whenever an imminent collision is perceived. The controllers of vehicles will be aware of their peers’ location and speed through GPS. Consequently, the brakes of a vehicle are decelerated if there is any chance of collision with any unforeseen vehicle. The system is upgraded by means of machine learning; i.e., the vehicle can comprehend the behavior of the driver’s reaction and accordingly implement the brakes only in inevitable circumstances.