Smart cities are transforming urban environments by integrating advanced technologies to optimize infrastructure, mobility, and public services. A key part of this transformation is the rise of semi and fully autonomous vehicles, which require seamless interaction with smart city systems to ensure safe, efficient, and adaptive transportation networks. These vehicles must be able to respond not only to static road features, but also to dynamic events that occur in real time. To address this challenge, an RFID-based system was developed that enables real-time information exchange between vehicles and a centralized smart city management platform. Through this communication, vehicles are able to receive timely updates about road conditions, hazards, and regulatory changes, allowing them to adapt dynamically to the evolving traffic environment. To validate the system's effectiveness, a mock-up smart city environment was constructed, replicating common urban traffic scenarios. Various road events, including construction zones, reduced speed areas, intersections, and other critical conditions, were simulated across the layout. RFID transponders embedded within the infrastructure continuously transmit event-specific data to RFID readers installed in vehicles. This system ensures that vehicles are consistently aware of their surroundings beyond what onboard sensors can detect, enhancing overall safety, traffic flow, and the integration of autonomous mobility into future smart cities.