The AI Behind the FIA Driver Safety Index
The FIA Driver Safety Index (DSI) is powered by AI technology that analyses driving data to uncover patterns in behaviour, providing a universal measure of risk, regardless of geography, industry, or vehicle type.
Independent expert validation shows that the AI behind the FIA DSI can confidently measure driver risk across geographies and contexts, providing organisations with a credible, data-driven foundation for safer decision-making.
Translating everyday driving into globally comparable insights
AI Analysis. Real Insights.
The AI used in the FIA DSI is built on a machine learning model trained on over 20 years of real-world driving data including GPS traces, crash and claim records, and fuel/energy consumption data.
Because it is grounded in real-world behaviours, it can also uncover the factors behind risk – factors that increase or decrease a driver’s likelihood of being involved in a crash.
How the AI Analysis Works
Unlike generic AI models, this model is based on real-world behaviour, actual vehicle usage, and real claim outcomes. This makes it uniquely accurate and effective for driver behaviour insights and predictive risk analysis.
- Global driving data – AI trained on real driving data from 106 countries
- Pattern profiling – Trip-by-trip driving patterns compared with 7+ billion real-world profiles to identify risk indicators
- Behavioural factors – Identification of the factors that increase or decrease driver risk
FAQ
Driver risk is the likelihood that a driver will be involved in a crash.
The Index is benchmarking driver risk, by analysing and combining GPS data from any source and making it globally comparable.
The Index is derived using an AI that converts driving GPS data into driver risk predictions.