Where Driver Behavior Data Comes From
Modern systems fuse three data streams: accelerometer (harsh events), GPS (speed and location), and forward/inward-facing cameras (visual context). The accelerometer catches the event; GPS tells you where and how fast; the camera shows why — a cut-off vehicle, a pedestrian, or a phone in hand.
Event Types & Thresholds
| Event | Typical Threshold | Severity Weight |
|---|---|---|
| Hard brake | ≥ 8 mph/s deceleration | High |
| Rapid acceleration | ≥ 8 mph/s acceleration | Medium |
| Sharp cornering | ≥ 0.4 g lateral force | Medium |
| Speeding (posted) | ≥ 10 mph over limit | High |
| Phone use | AI camera detection | Critical |
| Drowsiness | Eye-closure detection | Critical |
Balancing Safety & Privacy
Inward-facing cameras are effective but controversial. Best practice: use event-triggered recording (not continuous), limit access to safety managers, publish a clear driver-facing policy, and involve drivers in programme design. Fleets that position the programme as protective — not punitive — see 3× higher adoption.
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