The development of alerting driver assistant systems and the effectiveness evaluation of such systems constitute great issues, due to the dependency on the driver’s reaction. Thus, a new evaluation method by means of numerical co-simulation is to be developed in cooperation between the BMW Group, the Virtual Vehicle Research and Test Center, and the Chairs of Traffic and Transportation Psychology and Automobile Engineering of the Technische Universität Dresden. It provides the simulation of complete traffic accidents, including Hazard-, Pre-crash-, In-crash-, and Post-crash-phase. The integrated driver model of the Technische Unviversität Dresden is able to simulate the event chain of hazard cognition (situation ascertainment and assessment) and driver behavior (action deduction and execution) by means of traffic-psychological fortified submodels, while driving uninfluenced as well as being supported by the driver assistant systems. In this article, the submodel of the driver’s sensory perception is to be introduced. It includes detailed mechanisms for the detection of visual stimuli from the traffic environment and visual and audible stimuli from the driver assistant systems. Those perception mechanisms are coupled to a considerable eye movement algorithm. Currently, the primarily physiological motivated modeling is to be advanced by psychological aspects as distraction and situational effects like time of day and road type. Hence, the submodel is able to represent the first part of the driver’s reaction time, so called gaze allocation time, in a very detailed manner. The whole driver reaction can be simulated in combination with the other three submodels, while driving uninfluenced as well as being supported by the driver assistant systems, whereat the model behavior varies statistically. From the overall results of the co-simulation, the mitigation of accident severity or respectively the collision avoidance chance through the application of the evaluated safety concept will become assessable in the near future. Hence, this method will be suitable as a tool for development as well as for evaluation of these systems equally.