Paper Title
A Novel Machine Learning-Based Vehicle-to-Vehicle (V2V) Communication Concept for Enhanced Road Safety and Traffic EfficiencyPavan Sanjiv Kumar Shah, Dr. Dhaval Shah

Abstract
This paper proposes a novel concept for Vehicle-to-Vehicle (V2V) communication based on machine learning (ML) techniques, aiming to improve road safety, traffic flow, and vehicle efficiency. The model integrates real-time data from vehicles and infrastructure to predict and optimize driving behaviors. A machine learning framework is developed to enhance communication protocols, vehicle decision-making, and cooperative driving actions. The system leverages data such as vehicle location, speed, and environmental conditions to enable proactive collision avoidance and traffic management. Simulation results demonstrate the potential of the proposed system in reducing accidents and enhancing overall traffic efficiency. Keywords - Intelligent Transportation Systems (ITS),Predictive Analytics,Internet of Vehicles (IoV),Data-Driven Traffic Management, Automated Traffic Systems,Reinforcement Learning