A subharmonic detrending or data-smoothing approach for longitudinal road profile measurements
نویسنده
چکیده
Coinmonly used figure-of-merits for longitudinal road profiles such as the Intemational Roughness Index (IN) and the Ride Nuniber (RN) are based on statistical properties. Raw measured longitudinal road profile data may contain large trending components especially when the measurements are made with walking profilers in hilly regions. To obtain approximate stationary data suitable for statistical processing measurements should be subjected to detrending before calculating the IRIor RNvalue. In this paper a novel detrending method is proposed which is well suited for removing large profile trends without significantly corrupting the short wavelength content of the profile data. The method called sub-hannonic detrending works by fitting sub-hamionic sinusoids to the data followed by circular filtering in order to remove the trend. The method is also well suited for data-smoothing.
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