Pavement Surface Texture Classification and Skid Resistance Photo-Interpretation
The pavement surface texture classification method presented in this paper is based on the concept that the pavement surface is a geometrical structure which can be expressed by six parameters: height, width, angularity, distribution, harshness of projections above the matrix from which they arise and harshness of the matrix itself.
The need for surface texture classification stems from the fact that the highway engineer must manipulate the surface texture in order to control the pavement’s skid resistance. Texture classification is a means by which skid resistance measurements, tire wear and noise measurements can be related to identifiable pavement surfaces. Similarly, the mechanical engineer who is concerned with vehicle performance needs pavement surface data. Without this information, he cannot properly relate performance data of different vehicles or vehicle components to each other, nor can he relate the performance data of the vehicle on different surfaces.
Photo-interpretation of skid resistance is discussed. Like the texture analysis to which it is linked, photo-interpretation is the outcome of an empirical approach which resulted in a two-tier model of tire — pavement contact: on the upper level, supporting the tire directly, are the pavement surface projections; on the lower level, is the matrix which provides additional tire support to a degree dependent on height, distance between the asperities, and on tire construction.
Finally, the role of pavement texture classification in the surveillance of pavement slipperiness is discussed.
KeywordsSurface Texture Texture Classification Texture Parameter Asphalt Pavement Pavement Surface
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