The prospective safety impact assessment is an important method for evaluating traffic safety effects of Advanced Driving Assistance Systems (ADAS). Different approaches are known to determine a technology’s impact on traffic safety, e.g. driving simulator studies, driving studies on the test track, Field Operational Tests and virtual simulation. For the virtual simulation, it is essential to have a detailed representation of the interactive processes between the driver, the vehicle with the system under assessment and the environment in traffic. The modeling of the driver led to the development of the Stochastic Cognitive Model (SCM) at the BMW Group that bases on stochastic processes and considers human cognitive behavior. This paper focuses on driver behavior modeling. For this purpose, the paper investigates in detail the influence of driver characteristics and personality on driver behavior in a virtual multi-agent simulation based on a driving simulator study. Therefore, correlations between driver characteristics and relevant aspects of driver behavior have been investigated and results will be reported in the present paper.