Head-On Collision Avoidance Using V2X Communication

One of the most common causes of road accidents is the driver's inattention or the underestimation of the current situation. This problem can be amplified on the less maintained road sections, where the critical parts (curves) are not visible. These factors often result in fatalities or other serious injuries. With the increasing popularity of connected and automated vehicles, Vehicle-to-Everything (V2X) communication has emerged as a promising technology to prevent head-on collisions in critical road sections. In this paper, we propose a head-on collision avoidance system that utilizes current vehicle information on the monitored road section to detect potential collisions and provide sufficient warnings to drivers. This system is designed to cooperate with multiple other systems to create a comprehensive solution for potential autonomous vehicles. The entire solution was also extensively tested using custom road scenarios and simulated vehicular data using a high-fidelity traffic simulation generated by SUMO. The resulting application could be used and extended for future uses for head-on collision avoidance or the implementation of autonomous vehicles.