MR-AI-1 is a fuzzy logic-based, autonomous learning system designed to enable autonomous vehicles to make safe and efficient decision-making in real-world driving scenarios. This system leverages machine learning algorithms to enable continuous improvement, adjusting itself based on new data and reacting to changing environments and conditions. It also gathers data from various vehicle-based sensors, such as GPS and LIDAR, to generate dynamic maps, which the AI can use to plan routes and anticipate traffic patterns, aiding autonomous driving and decision-making. Furthermore, MR-AI-1 can be extended to more broadly include smart city infrastructure, forming an intelligent transportation system that can better serve the public.