How AI Risk Scoring Improves Fleet Safety
Identifying which drivers in your fleet are most likely to cause incidents — before they happen — used to require a dedicated safety manager spending hours reviewing data. TachoCard's AI risk scoring changes that equation completely.
The Problem with Manual Review
Traditional tachograph analysis tells you what happened after the fact. A driver's risk profile emerges slowly through accumulated violations. By the time a pattern is obvious to a human reviewer, it may already be too late.
Moreover, different violations carry different levels of risk. A single rest period violation is very different from a systematic pattern of daily overspeed combined with shortened rest periods. Human assessment of composite risk is inherently inconsistent.
How the TachoCard Risk Score Works
Every driver's data is processed through a machine-learning model that evaluates 5 weighted risk factors, each contributing a percentage to the final score:
1. Speed Violations (30%)
Not just how many — but how severe and how frequent. A driver with three serious speed violations in one month is rated much higher than one with a single minor overspeed from months ago.
2. Daily Rest Compliance (25%)
Rest period violations are among the strongest predictors of fatigue-related incidents. The model looks at both frequency and the magnitude of each shortfall.
3. Driving Time Accumulation (20%)
Systematic driving beyond daily or weekly limits suggests either operational pressure or deliberate circumvention of rules — both meaningful risk signals.
4. Break Adherence (15%)
Driving more than 4.5 hours without the required 45-minute break is directly linked to increased accident rates. The model weights the recency of such violations.
5. Infringement Rate Over Time (10%)
Trend analysis: is this driver improving, staying stable, or deteriorating? A rising trend multiplies the final score.
Interpreting the Score
| Score | Meaning |
|---|---|
| 1–3 | Low risk — normal, compliant driving |
| 4–6 | Moderate risk — review recent violations |
| 7–8 | High risk — immediate attention recommended |
| 9–10 | Critical — consider suspension and retraining |
Fleet-Level Insights
For company accounts, TachoCard aggregates individual scores into a fleet risk dashboard, showing:
- Distribution of risk levels across all drivers
- Risk trend over time (improving/worsening)
- Top 5 highest-risk drivers requiring immediate attention
- Comparison benchmarks against similar fleet profiles
Why This Matters
Research by EU road safety agencies consistently shows that high-risk driving behaviour, as measured through tachograph data, is significantly correlated with accident involvement. Early intervention — retraining, scheduling adjustments, or in serious cases, disciplinary action — demonstrably reduces accident rates.
TachoCard puts this predictive intelligence in the hands of every fleet manager, not just those with dedicated safety departments.
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