01658393

Component

The principal objective of this study was to analyze pavement surface texture characteristics and to evaluate their influence on friction. A Line Laser Scanner (LLS) was implemented to obtain an improved characterization of the pavement texture which includes the characterization of macro- and micro-texture using different parameters. Field measurements of friction and texture were collected around Texas using different tests methods. Thirty-six pavement sections were evaluated, including different surface types. The influence of texture on friction was assessed using various models including the macro- and micro-texture and the surface type. A series of statistical analyses using hypothesis testing was applied to evaluate these models. Among the main conclusions, it was found that there is not a unique relationship between texture and friction. The relationship between texture and friction is strong, but it is different for each type of surface. Thus, regression analysis pooling all data cannot be utilized to quantify the relationship. Panel data analysis should be applied. Additionally, the prediction of friction is significantly improved when incorporating information of both macro- and micro-texture into the prediction model. Therefore, a measure of micro-texture should be included into friction models based on texture. Finally, among the study of different texture parameters, the mean profile depth (MPD) was the most significant parameter for macro- and for micro-texture to explain the distinct friction measures.

This paper was sponsored by TRB committee AFD90 Standing Committee on Pavement Surface Properties and Vehicle Interaction.

18-00841

English

4p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Friction; Macrotexture; Mathematical models; Mathematical prediction; Microtexture; Pavements; Texture

Field data; Line laser scanners; Mean profile depth

Texas

Highways; Pavements

Transportation Research Board Annual Meeting 2018 Paper #18-00841

TRIS, TRB, ATRI

Jan 8 2018 10:12AM