Conference paper
A subharmonic detrending or data-smoothing approach for longitudinal road profile measurements
Commonly used figure-of-merits for longitudinal road profiles such as the International Roughness Index (IRI) and the Ride Number (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 IRI- or RN- value. 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-harmonic detrending works by fitting sub-harmonic sinusoids to the data followed by circular filtering in order to remove the trend. The method is also well suited for data-smoothing.
| Language: | English |
|---|---|
| Year: | 2001 |
| Pages: | 413-416 |
| Proceedings: | 2001 IEEE International Symposium on Circuits and Systems |
| ISBN: | 0780366859 and 9780780366855 |
| Types: | Conference paper |
| DOI: | 10.1109/ISCAS.2001.921095 |
Artificial intelligence Curve fitting Filtering Information technology International Roughness Index Legged locomotion Pollution measurement Ride Number Roads Smoothing methods Statistical analysis Wavelength measurement approximate stationary data circular filtering curve fitting data-smoothing approach discrete Fourier transforms figure-of-merits longitudinal road profile measurements short wavelength content statistical analysis statistical properties sub-harmonic sinusoids subharmonic detrending surface topography measurement walking profilers
