Development of predicting evaluation platform of advanced driver safety assist systems using integrated virtual traffic environments

Advanced driver safety assist systems are expected as the useful tools to decrease the traffic accidents, and are under developments in many automobile manufacturers. From the political points of view, predicting the effects of each advanced driver safety assist system on driver-vehicle safety improvement quantitatively, in the early stage of the system development activities, is important to define the priority of development of the systems. Also the prediction method will give further technical knowledge of new driver assist system concepts to the automobile manufactures. This paper proposes the integrated evaluation methodology of advanced safety driver assist systems. Proposed evaluation platform is composed by integrated virtual traffic environments, including micro integrated driver models, macro car traffic simulation models, networked driving simulators and probe cars.