The evaluation of alerting driver assistant systems’ effectiveness constitutes a great issue, due to the dependency on the driver’s reaction. Thus, a novel 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, the Vehicle Safety Institute of the Graz University of Technology and the Chairs of Traffic and Transportation Psychology and Automobile Engineering of the Technische Universität Dresden. In a first step, a tool chain of the integrated safety could be established and tested within a reconstructed pedestrian accident. 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 motivated submodels in a plausible manner, within the original scenario and with support from the driver assistant systems. Under variation of the driver variables “age” and “driving familiarization”, plausible reaction times could be constituted via the underlying reaction time model. These variations influence the corresponding vehicle state at the point of collision and hence the initial conditions of the subsequent crash simulation. From the statistical evaluated, 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.