Evaluation of Driver Assistance Systems—A Human Centered Approach
نویسنده
چکیده
In this paper, two newly developed driver models are presented. They are applied to the evaluation of two driver assistance systems. First, a longitudinal driver model is developed based on measured driving data, which is subsequently used to evaluate the impact of Adaptive Cruise Control (ACC) vehicles on traffic flow. A lateral driver model based on the model predictive control principle is then presented. This model is applied to the evaluation of the effect of a Vehicle Stability Control (VSC) system on possible vehicle roll-prevention.
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