The age of AI for road transport has come to signify a fundamental shift towards smarter, safer, and efficient mobility solutions. With urbanization and population increasing demands on transportation systems, innovative applications of AI can address challenges such as traffic congestion, safety of navigation, energy efficiency, and environmental sustainability concerns. The chapter also intends to examine the current and foreseeable roles of AI in road transport, focusing on prominent applications of traffic management, autonomous vehicles, and fleet optimization. Predictive analytics enable authorities to foretell traffic surges, identify areas of congestion, and offer alternative routes to drivers to minimize delays and emissions. The chapter addresses the layers of vehicle autonomy from allowing driver assistance to full autonomy whilst taking a peek at ethical, regulatory, and technical humps that need to exist for ensuring further propagation.