The drivers' hazard detection model based on hazards' Mobility and crossing speed of hazard factors

One of the most important parts of the driver reaction is detecting hazard in prominent time. A hazard is detected in the right time if it is completely visible for the driver. There are various hazard types such as fixed obstacles, pedestrians, and animals that some of them cross the road. Right-time hazard detection and the post-reaction is of high importance in accident prevention. It is assumed, in this paper, that increasing crossing speed of hazards affects the driver's hazard detection. Different driver types including novice, low-experienced, and experienced drivers are chosen and various environmental scenarios are also designed. The eventual suggested model is Fuzzy Sugeno that estimates relation between the driver's detection score and the hazards' crossing speed. The results show that hazards' crossing and also increased crossing speed raises drivers' detection score and decreases reaction time. The increasing slope of the drivers' detection score diagram in relation with hazards' crossing speed in different conditions is 2% to 50%. The results are useful in training and hazard perception and detection tests, especially, for novice drivers and also, in making fixed and low-speed crossing hazards recognizable.