Pedestrian-vehicle collision avoidance support system with fuzzy reasoning

Abstract

We have been advancing research on P-VCASS (Pedestrian - Vehicle Collision Avoidance Support System) to avoid collision between pedestrians and vehicles using wireless communications. However, there are only two judgments as to give a warning or not in this system. To match the human senses, we propose a new risk calculation algorithm using fuzzy reasoning to decide the traffic state between vehicles and pedestrians is dangerous or safe, that is collision risk. Through several real experiments, we show that the proposed system can give warning at appropriate timing and properly.