Cooperative Intersection Collision Avoidance Persistent System Based on V2V Communication and Real-Time Databases

Abstract

Driving through intersections is potentially dangerous causing accidents and injury or death of the vehicle's conductor and/or his accompanists. Thanks to technological advances, many systems based on Vehicular Ad hoc Networks (VANET) are proposed to avoid collisions and improve road users' safety at intersections. In this paper, we investigate the use of Vehicle-To-Vehicle (V2V) communications and Real-Time Databases to mitigate collision risks, reduce the calculation time, and thus enhance safety at intersections. Specifically, we provide a new system, that we call Cooperative Intersection Collision Avoidance Persistent (CICAP) system to avoid potential accidents at intersections and minimize accident risk. Each vehicle stores its information as well as the nearby vehicles' information in a local Real-Time Database (RTDB). As it approaches to the intersection area, the vehicle queries its database and selects the target vehicles to execute the system. We used the VEINS framework to simulate different driving scenarios at urban intersections. Our simulation results confirm the proposed system's performance as a new cooperative intersection collision avoidance system based on V2V communication and RTDB.