🌆 Urban & City Planning · Data Flow
Adaptive Traffic Management Data Flow
How an adaptive traffic system uses cameras and sensors to time signals, spot congestion and catch violations.
Drawing diagram…
What this diagram shows
- Vehicle counts adjust signal timings junction by junction
- Congestion and incidents appear in the control room
- Violations become e-challans automatically
Prompt used
Data flow for adaptive traffic management: junction cameras and loop detectors send vehicle counts to an edge analytics unit at each junction, which adjusts signal timing through the signal controller and sends aggregated data to the central traffic management server. The server detects congestion and incidents for the traffic control room, publishes travel times to navigation apps and variable message signs, and sends red-light and speed violations with number plate images to the e-challan system.
Mermaid code
flowchart LR CAM[Junction Cameras] -->|Video| EDGE[Edge Analytics per Junction] LOOP[Loop Detectors] -->|Vehicle counts| EDGE EDGE -->|Timing plan| SIG[Signal Controller] EDGE -->|Aggregated traffic data| TMS[Central Traffic Management] TMS -->|Congestion and incidents| CR[Traffic Control Room] TMS -->|Travel times| VMS[Variable Message Signs] TMS -->|Travel times| NAV[Navigation Apps] EDGE -->|Violations with plate images| EC[E-challan System] EC -->|Fines| OWN[Vehicle Owners]
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