Revolutionizing Public Transit: AI-Powered Autonomous Vehicles for Smarter, Safer, And More Efficient Systems

Abstract

This paper discusses the potential of AI-powered autonomous vehicles (AVs) to revolutionize public transport systems to be safer, more efficient, and more sustainable. With the leverage of machine learning, sensor technology, and real-time data analysis, AVs can remove human error, optimize routes, and rationalize fleet management, leading to safer roads, shorter travel times, and less congestion. Self-driving electric cars would also make the environment more environmentally friendly by minimizing emissions. However, the widespread use of AVs in public transport is slowed down by technological, regulatory, and societal acceptance challenges. This paper addresses these opportunities and challenges and the need for further research, regulation development, and awareness creation to ensure successful adoption of AI-powered AVs in public transport systems.