Evaluating the Tire/Pavement Noise and Surface Texture of Low-Noise Micro-Surface Using 3D Digital Image Technology

As a common preventive maintenance technique for asphalt pavement, micro-surface (MS) has the advantages of waterproofing and crack sealing. However, issues such as fact that conventional MS generates large noise evaluation indexes tire-road are relatively less studied. The traditional surface texture index cannot reveal range distribution pavement texture, thus hindering research low-noise MS. To study mechanism generated by MS, propose indicators In this study, five was systematically analyzed compared through tests. Then, three-dimensional digital model (3D-DTM) constructed using series image processing techniques, including grayscale identification, binary conversion, reduction. results show optimizing gradation, adding sound-absorbing materials, improving workability construction can improve reduction performance it is worth mentioning prepared with materials gradation greatest effect, maximum 6.3 dB(A). addition, also found 3D-DTM well reflect characteristics probability convex peak (PCD) proportion area (PCA) heights greater than 0.25 mm ( K h ? ), which extracted from 3D-DTM, noise, respectively. promising tool to optimize design