Title: Using predicted ride quality to characterise pavement roughness

Authors: Vincent Rouillard

Addresses: Victoria University of Technology, School of Architectural, Civil, and Mechanical Engineering, PO Box 14428, Melbourne City, MC VIC 8001, Australia

Abstract: This paper describes the development of a new method to analyse and interpret road surface roughness data for establishing ride quality for the purpose of managing pavements. The method uses numerical models of particular vehicle types along with the Hilbert Transform to predict variations in vibration magnitude which is used as an indicator of road surface quality or rideability. The paper shows how rough patches or segments along a pavement can be detected by identifying statistically stationary sections within the profile. The paper also compares this newly introduced method with the International Roughness Index (IRI). It is shown how the calculation of the statistical distribution of the Vibration Intensity affords a practical means to describe the overall quality of both short road segments and large road networks. Finally, a statistical model, based on a modified Rayleigh distribution, is proposed as a new alternative to characterising ride quality and pavement roughness.

Keywords: international roughness index; non-stationarity; pavement profiles; road surface roughness; vehicle response; vibration response; road profiles; ride quality; vehicle vibration; vibration intensity; statistical model; pavement roughness.

DOI: 10.1504/IJVD.2004.005352

International Journal of Vehicle Design, 2004 Vol.36 No.2/3, pp.116 - 131

Published online: 28 Sep 2004 *

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