Incorporating Surface Microtexture in the Prediction of Skid Resistance of Flexible Pavements

• Published in: Transportation research record 2014-01, Vol.2457 (1), p.105-113
• Main Authors: Serigos, Pedro A., De Fortier Smit, Andre, Prozzi, Jorge A.
• Format: Article
• Language: English
• Subjects: Friction; Highways; Mathematical models; Microtexture; Pavements; Skids; Surface layer; Texture
• ISSN: 0361-1981; 2169-4052
• DOI: 10.3141/2457-11

Monitoring and managing the skid resistance of the highway network is necessary for controlling and reducing the number of road accidents. High-speed measurements of surface texture can be used as a surrogate parameter for controlling a pavement's surface friction on the highway network. The two components of surface texture that affect skid resistance are the macrotexture and the microtexture. However, the technologies commonly used for measuring pavement texture at highway speeds account only for the macrotexture. This study explored ways to characterize the microtexture of pavement surfaces with the main objective of quantifying the effect of accounting for both components of the texture on the prediction of skid resistance, as measured by a British pendulum tester. Various methods for characterizing the microtexture were compared to determine which one better predicted surface friction. The study used field measurements of surface texture and friction performed on various in-service flexible pavements. The surface microtexture was characterized by a series of texture parameters calculated in both the spectral and the spatial domains. The impact of incorporating the microtexture on the prediction of the British pendulum number was evaluated through analysis of a series of models specified by each of the proposed parameters. The results of the analysis showed a drastic improvement in predicting the British pendulum value when the authors accounted for both components of the surface texture, as opposed to only the macrotexture. In a comparison of the analyzed methods for characterizing the microtexture, the use of spectral parameters led to the best prediction of the pavement surface friction. A series of recommendations is provided for the calculation of microtexture parameters.