Smart traffic sign and automobile interface using AI and sensor-based communication: A framework for intelligent transportation systems

The integration of Artificial Intelligence in vehicles has advanced modern transportation capabilities, yet isolated onboard systems face inherent limitations when confronted with obscured signage, adverse weather, and complex environmental conditions. Traditional computer vision approaches struggle with performance degradation during variable lighting conditions and physical obstructions – precisely when enhanced perception is most critical for safety. This framework introduces a transformative dual-component architecture incorporating sensor-enabled traffic infrastructure with vehicle communication systems to create a fully interactive, context-aware traffic ecosystem. By establishing bidirectional information flow between static infrastructure and dynamic vehicles, the system provides advanced hazard warnings, regulatory information transmission during visual obstruction, and environmental condition broadcasting beyond visual detection range. The architecture leverages both Dedicated Short-Range Communications and Cellular Vehicle-to-Everything protocols to optimize transmission reliability, range, and penetration capabilities. Field implementations demonstrate significant safety improvements through enhanced perception capabilities, particularly in adverse conditions where traditional vision systems underperform. Through strategic deployment at high-risk intersections and critical regulatory zones, the framework delivers measurable benefits including reduced incident rates, improved compliance, and enhanced autonomous vehicle reliability while maintaining cost-effectiveness and compatibility with existing traffic management systems.