Abstract
This study examines an evaluation method of road surface roughness with consideration of ageing characteristics by discrete wavelet transform. First, a multiple regression analysis showed that the spatial frequency subbands related with wavelengths of 2.4-4.8m and 1.2-2.4m correspond with aging characteristics of surface roughness. According to the results, we proposed a detection method of the roughness aging characteristics in a profile. The detecting results contribute to identify the profile segments that require the repair of a pavement surface. Finally, wavelet-based profile analysis confirmed that the repair of local profile segments corresponding to the roughness aging characteristics improves the performance of smoothness of the entire section in the road surface evaluation.
