AI driver behaviour detection: fleet safety without a supervisor in every cab
A single fleet vehicle accident costs on average €8,000–25,000 (repair, downtime, insurance, administration). Proactively improving driver behaviour is the cheaper alternative — and AI makes it scalable across the entire fleet without additional headcount.
What AI monitors
Telematics parameters (from OBD-II unit)
- Hard braking — g-force >0.35g (target: <0.25g)
- Hard acceleration — g-force >0.30g longitudinal
- Sharp cornering — g-force >0.30g lateral
- Speeding — exceeding route speed limit by >10 km/h
- Night driving — tracking driving hours (fatigue)
Advanced analysis (in-cab camera)
- Distraction detection (gaze off road >2 seconds)
- Microsleep detection (blinking patterns, head movements)
- Phone use identification during driving
Outputs for drivers and management
Trip scoring (Driver Score)
Driver: Peter Novák | Week 18/2026
Overall score: 74/100 ⬇ (previous week: 81)
Hard braking: 12× (target: <5×) ❌
Speeding: 3× (target: <2×) ⚠️
Hard acceleration: 6× (target: <8×) ✅
Night driving: 0× ✅
Recommendation: Practise anticipatory driving — maintain safe following distance
Training module: [Eco-driving and anticipation — 15 min online course]
Fleet report for the manager
Fleet: 24 vehicles | April 2026
Top 3 highest-risk drivers:
1. Ján Horváth — score 61/100 (hard braking 47×/month)
2. Miroslava Kováč — score 68/100 (speeding 18×/month)
3. ...
Fuel saving potential: +8.2 % if scores improve to 80+
Predicted insurance coefficient reduction: -12 % (if incidents <3/year)
ROI: why it pays off
For a fleet of 20 vehicles:
- Average insurance claims: 4/year → target: 2.5/year
- Saved on insurance claims: 1.5 × €12,000 = €18,000/year
- Fuel saving (better driving style –8 %): 20 vehicles × 25,000 km × 8l/100km × €1.50 × 8 % = €4,800/year
- Total saving: €22,800/year
Telematics costs (20 units + software): €5,000/year. ROI: 4×.