V2V-Communication

The technology known as vehicle-to-vehicle (V2V) communication is revolutionizing intelligent transportation systems by facilitating smooth data flow between automobiles to improve traffic control, road safety, and the driving experience. Innovative track management techniques that use sensor fusion and V2V signals to enhance perception and lessen occlusion issues in autonomous vehicles are proposed by this research, which incorporates developments in V2V-enabled systems. Authentication methods, encryption algorithms, and intrusion detection systems designed for V2V networks are all thoroughly examined, with an emphasis on security that takes into account IoT protocols for dependability and efficiency. Experiments demonstrate the effectiveness of predictive trajectory models and real-time communication in lowering accident rates by highlighting reliable collision avoidance systems for urban trams. The potential for machine learning techniques to improve system efficiency under various circumstances is further shown by a sizable dataset that documents multi-modal V2V communication scenarios. The significance of safe, effective, and scalable V2V communication in influencing the direction of connected and self-driving mobility is highlighted by these developments taken together.