Pavement roughness index impact for specific wavebands and causative factors

Abraham Bae, Shelley M. Stoffels

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


This study quantified roughness for individual wavebands in the long wavelength range in pavement longitudinal profiles. Particularly, the roughness was related with quantified plausible factors associated with those wavebands. Root Mean Square (RMS) roughness defined under the Power Spectral Density (PSD) profile in the frequency domain was used as a quantified index that can reflect detailed roughness information for a specific waveband. A method to interpret the quantified roughness in terms of the International Roughness Index (IRI) was also developed. It was demonstrated that the RMS roughness evaluated in individual wavebands under the PSD function can be technically interpreted in terms of IRI. Thus, the interpreted IRI could be directly explained by the quantified plausible factors. It was concluded that the demonstrated method can contribute to improved roughness prediction models the Mechanistic-Empirical Pavement Design Guide (MEPDG) with smoothness characteristics in detailed wavelengths underpinnings in future generations of pavement design models.

Original languageEnglish (US)
Pages (from-to)1764-1773
Number of pages10
JournalKSCE Journal of Civil Engineering
Issue number5
StatePublished - Jul 1 2017

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering


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