Approaching driver models which integrate models of emotion and risk

This paper discusses driver models as components of driver assistance systems and driving simulations. The focus is on generating believable and consistent behavior of simulated drivers by using driver models which imitate emotional influence on the human driverpsilas decisions. The designed and implemented simulation intends to build a platform for learning algorithms which will later be used in adaptive driver assistance systems. This work adapts the cognitive appraisal model as described by Orthony, Clore and Collins ill for the imitation of human emotional reactions by integrating it with a model of risk. A system design is presented and discussed. Moreover, a simulation environment is presented and the integration of emotional drivers is shown. The application of the model to a specific driver assistance system is presented.