RESEARCH ARTICLE
Potential Bias of Response Type Road Roughness Measuring Systems: Causes and Remedial Measures
Mohammad Mamunur Rashid*, Koji Tsunokawa
Article Information
Identifiers and Pagination:
Year: 2008Volume: 2
First Page: 65
Last Page: 73
Publisher ID: TOTJ-2-65
DOI: 10.2174/1874447800802010065
Article History:
Received Date: 23/5/2008Revision Received Date: 25/7/2008
Acceptance Date: 21/8/2008
Electronic publication date: 22/10/2008
Collection year: 2008
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.
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.