A preliminary study on a fuzzy driving risk model

One potential problem of driver assistance systems is that they may lead to drivers´ disengagement. Therefore, it is necessary to predict the danger ahead. Based on the discussion of the dangerous zone of a moving vehicle, driving risk level was proposed in this paper, and then a fuzzy logic based approach was presented to evaluate the risk level. The experiments of single-line motion demonstrated that the simulation result of driving risk level has the consistency of variance with the human driver´s mental workload. The evaluation method of driving risk level has potential to be integrated into a DAS to sense the coming hazard like a human driver.