Summary of the dissertation

Automated driving functions, which are intended to relieve the driver by taking over the driving task, are becoming increasingly widespread as equipment in passenger cars.

At the same time, there are significant regional differences in the factors influencing the road network, which also affect the functional performance experienced by the user.

Against this background, this dissertation presents a novel validation approach based on a framework that combines the approaches of a virtual test drive with a model-in-the-loop simulation and is based on a stimulation by representative routes. In this way, representative validation statements can be made for all users and, for example, the operation design domain (ODD) of predictive functions can be better quantified.