Development of Connected Vehicle Feature System to Improve Road Safety through Data Transfer

The seamless data exchange that has revolutionized the transportation sector in the age of connected vehicles has improved convenience, efficiency, and safety. The exponential growth of data presents a significant difficulty as a result of this technical progress. India’s varied and frequently unpredictably changing driving conditions from congested city streets to rugged rural landscapes provide a formidable obstacle for connected cars aiming for complete autonomy. In the context of India specifically, this study tackles the difficult issue of data gathering in connected automobiles while managing the complexities of traffic conditions. The suggested system gathers data from one vehicle and transmits it to another, which uses it to safely reach its destination. India’s driving habits make it difficult to achieve the predictability required for autonomous cars. Given that connected cars depend on accurate data to negotiate the complexities of the road, comprehending and getting used to these distinct driving dynamics becomes crucial. The massive amount of data on the surrounding area, the state of the road, traffic signals, road signs, number of lanes, and geo-points is the issue with linked vehicles. Inadequate management of this massive amount of gathered data will result in a loss of data overload, accuracy, and responsiveness. This will impair the car’s performance and cast doubt on its security.