In the change from assisted to highly automated driving, the precise knowledge of the transition between "Driver Control Mode" and "Vehicle Control Mode" and reliable monitoring of driver vehicle control is of crucial importance. The central part is the modelling and identification of the driving behaviour. On this basis, adaptive functions leading to higher customer acceptance and therefore sustainable market penetration of ADAS and automated driving functions can be developed on the one hand. On the other, aspects of controllability affect the classification in terms of functional safety levels with regard to the validation in automated driving scenarios. The paper deals with three relevant aspects: objective monitoring of driver characteristics, adaptive function design using lateral control in lane keeping scenarios as an example and controllability. taking longitudinal control when following another vehicle as an example. (C) 2016, IFAC (International Federation of Antomatic Control) Hosting by Elsevier Ltd. All rights reserved.