  Ensuring the safety of road vehicles at an acceptable level requires the
absence of any unreasonable risk arising from all potential hazards linked to
the intended au-tomated driving function and its implementation. The assurance
that there are no unreasonable risks stemming from hazardous behaviours
associated to functional insufficiencies is denoted as safety of intended
functionality (SOTIF), a concept outlined in the ISO 21448 standard. In this
context, the acquisition of real driving data is considered essential for the
verification and validation. For this purpose, we are currently developing a
method with which data collect-ed representatively from production vehicles can
be modelled into a knowledge-based system in the future. A system that
represents the probabilities of occur-rence of concrete driving scenarios over
the statistical population of road traffic and makes them usable. The method
includes the qualitative and quantitative ab-straction of the drives recorded
by the sensors in the vehicles, the possibility of subsequent wireless
transmission of the abstracted data from the vehicles and the derivation of the
distributions and correlations of scenario parameters. This paper provides a
summary of the research project and outlines its central idea. To this end,
among other things, the needs for statistical information and da-ta from road
traffic are elaborated from ISO 21448, the current state of research is
addressed, and methodical aspects are discussed.
