Abstract
Development of vehicle systems for driver assistance and automated driving contributes to the improvement of road safety. Previous studies within this project show the effectiveness of current Advanced Driver Assistance Systems (ADAS) for crash avoidance. All accident scenarios which cannot be solved by today’s ADAS, specified as white spots, show potentials for future systems. In this paper, white spot scenarios of the German In-Depth Accident Study (GIDAS) are analyzed in order to identify categories indicating potentials for collision avoidance by new ADAS. Regarding all rural and motorway scenarios of GIDAS with severe injuries, accidents with crossing and turning scenarios can be stated as the largest category among white spots. Using this information, a generic system for a crossing assist is implemented. Applying the method of prospective effectiveness assessment, the potential for collision avoidance of the crossing assist is evaluated based on scenarios of the GIDAS Pre-Crash-Matrix (PCM). The outcome of the work presented in this paper is a method for development and evaluation of future system approaches based on accident data simulation. This means closing the gap between previous studies on present ADAS effectiveness on the one hand, and the development of new vehicle systems for further reduction of severe traffic accidents on the other hand.
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