Abstract:
To supplement the research on the evaluationmethod of asphalt pavement
texture, novel three-dimensional (3D) methods are proposed. First, pavement textures
were measured in laboratory from asphalt mixture specimens using laser texture
scanner (LTS), and the macro-texture and micro-texture were extracted based on
spectrum analysis techniques. Then, macro-texture level evaluation indices f 8mac
and f 9mac together with micro-texture level evaluation indices f 8mic and f 9mic were
proposed based on the gray level co-occurrence matrix (GLCM) method, and the
hyperparameters existing inGLCMwere discussed. Through the correlation analysis
with mean texture depth (MTD) measured by sand patch method (SPM) and friction
coefficient μ measured by walking friction tester (WFT), the optimum pavement
texture level evaluation indices were determined. Additionally, the evaluation index
σ of distribution uniformity of pavement texture (DUPT) was proposed based on the
uniformity of deviations between sub-surfaces and the average surface of pavement
texture. Finally, the correlations of σ with texture profiles were studied. The results
show that f 8mac and f 8mic are the optimum indices for pavement texture level. MTD
has significant correlation with f 8mac, and the correlation coefficient R is 0.9348;
friction coefficient μ has significant correlation with f 8mic, and the R is 0.8030. The
hyperparameters of GLCM selected in this study were proved effective. Moreover,
the effectiveness of σ is also validated by calibratingwith standard grooved surface. It
can be concluded that the proposed indices in this study are suitable to the evaluation
of pavement texture level and pavement texture distribution.
