A subharmonic detrending or data-smoothing approach for longitudinal road profile measurements

Author

Gaunholt, H.

Author_Institution

Dept. of Inf. Technol., Tech. Univ. Denmark, Lyngby

Volume

2

fYear

2001

fDate

6-9 May 2001

Firstpage

413

Abstract

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

Keywords

curve fitting; discrete Fourier transforms; statistical analysis; surface topography measurement; International Roughness Index; Ride Number; approximate stationary data; circular filtering; data-smoothing approach; figure-of-merits; longitudinal road profile measurements; short wavelength content; statistical properties; sub-harmonic sinusoids; subharmonic detrending; walking profilers; Artificial intelligence; Curve fitting; Filtering; Information technology; Legged locomotion; Pollution measurement; Roads; Smoothing methods; Statistical analysis; Wavelength measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-6685-9

Type

conf

DOI

10.1109/ISCAS.2001.921095

Filename

921095