Abstract
The rapid advancement of Artificial Intelligence (AI) technologies has significantly influenced the evolution of smart mobility networks. This research explores an AI-enabled automation architecture designed to facilitate adaptive coordination between vehicles and infrastructure within smart mobility ecosystems. By integrating AI methodologies with vehicular and infrastructural components, the proposed architecture aims to enhance traffic efficiency, safety, and sustainability. The study delves into the components of the architecture, evaluates existing literature, and presents visual models to elucidate the system's functionality.
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