摘要: In this research, the relationship between retroreflectivity and various inputs that possibly affect retroreflectivity were analyzed for different traffic volumes and weather conditions from eight locations throughout the state of... 展开 In this research, the relationship between retroreflectivity and various inputs that possibly affect retroreflectivity were analyzed for different traffic volumes and weather conditions from eight locations throughout the state of Maryland. Inputs considered in this research were Number of Days Exposed, Cumulated Traffic Exposed, Cumulated Precipitation, and Cumulated Snowfall. First, the relationship between retroreflectivity and the Number of Days Exposed was analyzed for each location. The retroreflectivity and input data were then aggregated and analyzed for each pavement marking type, and a total analysis was completed. Single variable regression analysis was used to find the relationship between retroreflectivity and input variables. After single variable regression analysis, multivariable regression analysis was conducted using the multiple inputs as well. Finally, the durability and life cycle of the white and yellow waterborne paint pavement markings were estimated using the regression equations and thresholds of each paint type for different speed limits. 收起