Design Diagrams

System Diagram: 

The Smart Intersection Unit (left‑most blue block) captures traffic flow with its Cameras + Loops, performs an on‑device inference through the Edge AI & Signal Driver, and exchanges with the Cloud Service over an encrypted MQTT link.
Within the maroon Cloud Service, a city‑wide Optimization Model fuses live edge feeds with previously known data and patterns stored in the Data Store, then pushes revised signal timings or firmware back down the same channel. 

The cloud simultaneously streams Live Data Analytics to the green User Portal via WebSocket, giving operators a real‑time dashboard, while the portal sends Operator Commands (REST/POST) upstream for manual overrides, configuration, or incident flags.

This two‑interface, hub‑and‑spoke architecture keeps latency‑critical control at the curb, centralises heavy learning and governance in the cloud, and offers a single secure touch‑point for municipal traffic engineers.

Process Diagram:

This process model outlines the real-time workflow of the Smart Traffic Management System. It begins with the activation of edge devices that initialize AI-based cameras and IoT sensors to monitor live traffic conditions. The collected data is sent to a central system, where it's analyzed to detect the presence of emergency vehicles. Based on this decision, the system either optimizes normal signal timing for traffic flow or grants priority passage to emergency vehicles. The process runs continuously, allowing for adaptive responses to changing road conditions.