The architecture of the Road Management System (RMS) is built on a network of traffic cameras strategically placed along roads, all linked to RMS servers. These cameras continuously monitor traffic flow, transmitting data to the servers. Leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) models, the servers analyze this data, accurately determining vehicle directions, counts, traffic patterns, and other relevant metrics outlined in the system's features. Subsequently, this processed information is seamlessly displayed on the application's intuitive dashboards, providing users with real-time insights into road conditions and enabling informed decision-making for traffic management and navigation.