Using Close-Range Photogrammetry to Measure Pavement Texture Characteristics and Predict Pavement Friction

Abstract

Pavement friction measurements are collected and used to assess the functional characteristics of pavements to ensure an adequate level of friction. There are several factors that affect pavement friction including the properties of the tire rubber materials and pavement surface texture characteristics. This study utilized the close-range photogrammetry (CRP) technique to measure the pavement macrotexture and microtexture. Texture parameters were calculated from the collected and analyzed images of the pavement surface. The results of the CRP texture measurements were compared with typical measurement methods. The CRP texture measurements had excellent correlation with the measurement methods used in this study; however, the CRP offers a simple and accurate, yet inexpensive, alternative to the current methods used to measure surface macrotexture and microtexture. In addition, the CRP texture parameters were incorporated in the Persson friction model to predict skid friction as a function of rubber properties. The results demonstrated an excellent correlation between measured and predicted friction. This study greatly simplified the texture parameter calculations needed in the Persson friction model with good accuracy.