A Vehicle to Vehicle Communication Model for Collision Avoidance in Autonomous Cars

Abstract

This paper proposes a Vehicle to Vehicle communication-based model for collision avoidance by analysing the various parameters shared during communication and using the results of this analysis to provide warning signals to the autonomous cars to avoid collision. The proposed collision avoidance algorithms greatly benefit from the information exchange between the vehicles that are inside the Vehicular Ad-hoc network to calculate safe accelerations, distances, and velocities that the vehicles would later take on to guarantee the avoidance of collision. Simulations were done for three scenarios namely; Blind Spot, Intersection Movement Assist and Forward Collision all of which were implemented using MATLAB. The results show that the proposed collision avoidance system makes a composite analysis of the collision risk and then takes the necessary action to avoid the collision.