Predicting tire-pavement noise on longitudinally ground pavements using a nonlinear model

Longitudinal diamond grinding has been shown to be among the quietest finishing techniques for Portland cement concrete roadways. However, there are significant differences between the quietest and loudest longitudinally ground pavements. In order to facilitate the design of quieter longitudinally textured roadways, a model to predict noise based on pavement texture profiles would be useful. In this paper, a nonlinear model for the prediction of tire-pavement noise is presented. The model assumes the tire-pavement noise spectra are made up of the sum of two characteristic spectra whose levels depend on microtexture, macrotexture, and vehicle speed.