Method for detecting recognition efficiency of guide signs at signalized intersection under haze condition

Abstract

It is necessary to evaluate the recognition efficiency of traffic signs at intersections under different fog intensities, provides a reference for the addition of traffic signs to the domestic fog and haze weather, and to ensure the safety of drivers and maintain the smooth flow of traffic. In this paper, first, the driver’s recognition model of urban road intersection signs is established through his psychological reaction on the road under the normal weather condition, and calculated the recognition time under different speed through the recognition model. Second, using this data can fit the relationship between visibility of fog and haze and recognition time, and we can get the relation equation. Finally, the driver was tested by wearing an Eye Movement Apparatus on the head under the condition of normal weather and different haze levels, then the driving trajectory was recorded. Through the analysis, the driver’s blink time, glance time and visual time of the intersection signs were marked, the driver’s recognition time was finally obtained. Through the analysis of the recognition time of the 12 signs, it was verified that the models for fog and recognition time were reasonable and accurate.