Assessment of Drivers'Potential Hazard Perception at Unsignalized Intersections
To quantify the potential hazard perception ability of drivers at unsignalized intersections,this paper conducted a real vehicle driving test to collect real-time parameters of drivers'eye-movement characteristics.The fixation and saccade law of skilled and unskilled drivers were analyzed when they drive straight through the unsignalized intersections.Based on the Markov chain model,the driver's fixation transfer characteristics were illuminated to reveal the internal relationship between drivers'visual characteristics and potential hazard perception characteristics.The characteristic parameters of drivers'potential hazard perception ability were extracted combining with the statistical analysis under each mapping index of skilled and unskilled drivers.Based on the gray near-optimal comprehensive evaluation method,this study evaluated driver's potential hazard perception ability at unsignalized intersections.The results show that when driving straight through the intersections,the horizontal search breadth,vertical search depth and saccade intensity of unskilled drivers are significantly lower than those of skilled drivers.The ability of unskilled drivers searching for information on both sides of the road is weaker than that of skilled drivers,and timely allocation mechanism of fixation probability is not flexible.Potential hazard perception score of skilled drivers at unsignalized intersection is 31.2%higher than that of unskilled drivers.Among skilled drivers,men's potential hazard perception ability is significantly higher than that of women,while gender has no significant effect on the perceived performance of unskilled drivers.The research results can enrich the theoretical system of defensive driving,and provide important reference for the optimization and improvement of traffic facilities at unsignalized intersections,as well as driver safety education and evaluation.
traffic engineeringpotential hazard perception assessmentMarkov chainunsignalized intersectionsregion of interestdriving behaviors