Abstract
Abstract
Road profile is one of the inputs for the whole life pavement performance (WLPP) model. It used to predict vehicle loading. In this study, few road profiles were generated based on sparse road roughness measurements by road scanner. The Profile Viewing, ProVAL Analysis software and Matlab were used to filter unwanted wavelength, visualize the measured road profile data, and obtain profile International Roughness Index (IRI) and generate road profile base on Power Spectral Density (PSD) approximation equation. Calibrations between generated and measured road profiles were done by computing the correlation coefficient values. As a result, few road profiles of 100 m length have been generated based on the federal and state road profiles. The generated road profiles and measured road profiles are closely in shape.
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