Application of Machine Learning Algorithms in Autonomous Vehicle Navigation Systems

A Vehicle Navigation System is an intelligent system designed to assist drivers in deter mining the most efficient and safe route to their destination. It uses technologies such as GPS, digital maps, sensors, and real-time traffic data to track the vehicle’s location and provide turn-by-turn guidance. The system analyses various factors like distance, road conditions, traffic congestion, and travel time to suggest the best possible route. It also alerts the driver about obstacles, roadblocks, and alternative paths, improving overall travel efficiency. Modern vehicle navigation systems combine satellite data, embedded software, and user-friendly interfaces to enhance comfort, safety, and driving experience. This project focuses on developing a reliable and accurate navigation model that ensures smooth vehicle movement and supports intelligent decision-making on the road.