Abstract
Recently, automatic braking systems have been conducted to the research and development. But existing systems cannot be able to avoid collisions in a scenario such as a pedestrian darts out at into driving lane. In such scenario, it is necessary to develop a risk assessment algorithm based on hazard anticipation such as an expert driver. Therefore, this study proposes a risk assessment algorithm based on risk perception of human drivers. First, the vehicle behavior is determined by the application of Potential Fields theory with considering risk perception of human drivers. Next, develop a vehicle dynamics control system based on proposed risk assessment algorithm. Finally, the effectiveness of the proposed system is verified by experiments using the micro-scale electric vehicle.
