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To reduce accidents and fatalities on the roads, active safety systems which can avoid accidents or mitigate their effects are increasingly required. Contrary to already available driver assistance systems a future system can be a Collision Avoidance System which will be able to solve many critical traffic situations by warning, braking or steering. This paper will present a system consisting of environment sensing and situation analysis blocks as well as intervening strategy blocks. The main focus will be put on the scene interpretation of a situation and its optimization. Therefore a rule-based Fuzzy System will be described. Furthermore the Strategy Selection and the Path Planning in case of system intervention will be shown by simulation. The system has been developed during the work at the Adam Opel GmbH.

The timing of warnings in Advanced Driver Assistance Systems is crucial for a fast and correct reaction, as well as the driver’s acceptance. Knowledge about the human urgency perception is needed to match this timing. We developed a new technique to measure the perceived urgency in dynamic situations and evaluated it in a test track study. Eight participants drove an equipped test car with constant speeds (30–130 kph) on a test track approaching a preceding vehicle that was either standing or moving with a lower constant speed. Similar to the last second braking method [1], the participants were required not to brake until a collision seemed inevitable. Approaching the vehicle, the participants judged the increasing perceived urgency with successive presses on a steering wheel mounted button to indicate a change of urgency category (3 ascending urgency categories). We manipulated the speed of the participant’s car and the speed difference.