Risk of injury­function
Our approach to risk functions
The VUFO has developed an approach for creating injury risk functions based on real accident data.
One Injury risk function describes the probability of occurrence of a specific injury criterion (dependent variable) as a function of one or more variables (independent variable) for a specific population.
Essential The aims are to identify the injury valuesthe analysis and evaluation of possible Influencing parameters and the selection of a suitable statistical model. In doing so Model quality measures important values for estimation of the model's ability to explain the events within the sample.
EmpIric data
Empirical data usually determine the injury risk functions retrospectively and the evaluation of future safety systems uses them prospectively.
They offer an important Possibility to assess the consequences of changed (but not prevented) accidents.
Injury risk functions (IRF) are also essential elements for the evaluation of vehicle safety systems. They are able to predict the expected severity of injury depending on one or more accident parameters.
They are particularly suitable for the assessment process when system warnings or system interventions could change the consequences of a real accident.
These injury risk functions are generally used for Injury criteria created like:
- Probability at least seriously injured to become
- Probability fatally injured to become
- Probability at least MAIS2+ violated to become
- Probability at least MAIS3+ violated to become
What we offer:
We create injury risk functions for the injury severity of:
- Total person (e.g. official definition of injury severity, MAIS, ISS, etc.)
- Body region (e.g. AISHead)
- Individual injuries (e.g. AIS)
The method developed has so far been applied to accidents from GIDAS (German In-Depth Accident Study), but in general other data bases or target values other than injury severity are also envisaged.
In addition to the creation of injury risk functions, we offer a comprehensive Analysing and interpreting the results and their Application in the evaluation of active and passive vehicle safety systems.
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