01659469

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Inertial profilers have been the mainstream measuring device for pavement roughness for decades, but many local government agencies still use profilographs and other simple measuring devices due to the relatively high cost of inertial profilers. In recent years, researchers have shown great interest in studying the potential of smartphones and other types of response-based devices for roughness measurement. In this study, a response-based measuring device (RBD) was first developed, followed by a computational algorithm to enhance the analysis procedure of measured acceleration data. The developed algorithm includes several steps, including speed normalization on acceleration data, conducting Fourier transform, and applying low-pass and high-pass filtering on the acceleration data of the frequency domain. Enhanced acceleration root-mean-square index (ARI) is then computed. Four test sections were surveyed by both RBD and inertial profiler. For any given measuring speed, the low-pass cutoff frequency corresponding to 7.5-meter wavelength and the high-pass cutoff frequency corresponding to 30-meter wavelength will result in the best ARI calculation. The developed algorithm was successfully verified by additional field survey of 169 subsections. The coefficient of determination, R², between ARI and IRI has been significantly improved from 0.502 to 0.881 after the enhancement procedure was conducted. Therefore, pavement roughness IRI value can be reasonably predicted by an economic, portable, and reliable device.

This paper was sponsored by TRB committee ABJ50 Standing Committee on Information Systems and Technology.

18-02404

English

3p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Algorithms; Measuring instruments; Pavements; Roughness

International Roughness Index

Acceleration root-mean-square index; Inertial profilers; Response-based measuring devices

Highways; Pavements

Transportation Research Board Annual Meeting 2018 Paper #18-02404

TRIS, TRB, ATRI

Jan 8 2018 10:35AM