ARTIFICIAL INTELLIGENCE AND ROAD SAFETY: REVOLUTIONIZING TRANSPORTATION

Artificial Intelligence (AI) is revolutionizing road safety by minimizing human errors, optimizing traffic flow, and enhancing vehicle automation. AI-driven technologies, including Advanced Driver Assistance Systems (ADAS), autonomous vehicles, predictive analytics, and smart traffic management, contribute accidents and to reducing improving transportation efficiency. By leveraging real-time data from sensors, cameras, and Vehicle-to-Everything (V2X) communication, AI enables proactive hazard detection, adaptive decision-making and efficient resource allocation. However, challenges such as data privacy, system reliability, and legal accountability remain key concerns in AI-driven transportation. Continuous advancements in AI algorithms, machine learning, and regulatory frameworks are addressing these challenges, ensuring safer and more effective road systems. As AI integration in transportation expands, it has the potential to significantly reduce traffic related fatalities and create a safer, smarter and more sustainable driving environment worldwide. This paper explores AI's impact on road safety, highlighting its benefits, challenges, and future potential.