Assessing the effects of smart roads on autonomous vehicle navigation an analysis of real-time traffic management and data-driven approaches

This study examines the impact of smart road infrastructure on autonomous vehicle navigation, with a focus on advancements in real-time traffic management and data-driven methodologies. In response to the increasing complexity of urban environments, smart roads—incorporating sensors, wireless communication, and adaptive signaling—demonstrate significant potential for enhancing autonomous vehicle performance, particularly in the areas of route optimization, collision avoidance, and energy efficiency. This research evaluates current smart road initiatives and analyzes their influence on autonomous navigation using data-driven traffic models and real-time control applications. Findings show that with integrated smart road technologies, travel time can be reduced by up to 30%, collision risk lowered by 50%, and fuel consumption decreased by approximately 30%. The combined impact of these technologies enables autonomous vehicles to anticipate and respond dynamically to changing traffic conditions, improving safety and minimizing delays. Through case studies and empirical data, this paper highlights critical innovations in smart road technology, showcasing its role in facilitating seamless, efficient navigation for autonomous systems. These insights offer a foundational understanding of the interplay between smart infrastructure and autonomous vehicle systems, underlining its potential to drive forward autonomous mobility solutions.