TPI-driven urban traffic war room
This dashboard demonstrates IoT DC3 across urban traffic: network congestion heatmaps and intersection channelization, green-wave time-distance diagrams and adaptive signals tuning intersection timing, with the Traffic Performance Index fully traceable.
Signal controllers, magnetic detectors, checkpoints and radar feed IoT DC3 through custom TCP/UDP drivers or MQTT into an intersection-point model. Queues, saturation and other indicators are computed by the rule engine, with anomalies pushed through the alarm channel. See the documentation and the GitHub repository.
This page runs on mock data with morning/evening peaks simulated; connect real detectors to reproduce it.
IoT DC3 provides a command channel for issuing timing plans to controllers; the decision loop belongs to your traffic system while the platform supplies data and execution.