Ensemble Mode and Singular Value Based Road Texture-Skid Study

Traffic accidents occur frequently every year. Skid-resistance performance is an important indicator in evaluating road safety. In this paper, the surface texture information obtained by a line laser scanner. The original two-dimensional (2D) signal decomposed into eight intrinsic mode functions complementary ensemble empirical decomposition (CEEMD). Eight compose 800 × 8 data matrix. matrix singular value (SVD), and vectors are obtained. values summed linearly fitted to friction measured British pendulum meter. study finds that sum of one five has good linear correlation with goodness fit greater than 0.8. At same time, contour arithmetic mean deviation Ra applied for verification. results show strong Ra. When number Intrinsic Mode Function (IMF) eight, there between IMF from IMF2 IMF6. less numbers R2 more 0.8 gradually decrease. It suggested can be estimated solving 2D signal. provides new technical support detection evaluation anti-skid performance.