RESEARCH ARTICLE


Potential Bias of Response Type Road Roughness Measuring Systems: Causes and Remedial Measures



Mohammad Mamunur Rashid*, Koji Tsunokawa
Department of Civil & Environmental Engineering, Saitama University, 255 Shimo-Okubo, Sakura-Ku, Saitama-Shi 338-8570, Japan


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Creative Commons License
© 2008 Rashid and Tsunokawa ;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Civil & Envi-ronmental Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama-shi 338-8570, Japan; Tel: 81 80 3487 5254; Fax: 81 48 858 7374; E-mail: masum_ait@yahoo.com


Abstract

Response-type road roughness measuring systems estimate pavement roughness from correlation equations. Most of these systems recommend to maintain a constant survey speed or to keep the speed within a certain range. But carrying out a survey with this speed constraint may not always be possible due to the existence of traffic control devices and heavy traffic flow. Therefore, these systems may produce a significant bias in roughness measurement because of survey speed fluctuations. The objective of this study is to develop calibration equations that eliminate the bias produced by survey speed fluctuations. A simplified regression relationship for IRI with bump integrator reading and survey speed as explanatory variables is developed using ROMDAS bump integrator. Using a case study, this study also investigates how the bias created by speed fluctuations affects roughness and demonstrates how developed calibration equations eliminate that bias.

Keywords: ROMDAS, international roughness index, calibration equation, bump integrator, speed, alternative calibration equation, conventional calibration equation.