Refinement of Measurement Techniques of Road Profile and International Roughness Index (IRI) to Support the KDOT Pavement Management System (PMS) Annual Road-Condition Survey Research [Summary]

Dyer, Stephen; Boyd, Ryan; Dyer, Justin; Kansas State University. Dept. of Civil Engineering

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Refinement of Measurement Techniques of Road Profile and International Roughness Index (IRI) to Support the KDOT Pavement Management System (PMS) Annual Road-Condition Survey Research [Summary]

2005-03-01
By Dyer, Stephen ; Boyd, Ryan ; Dyer, Justin

[PDF-62.45 KB]

English

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Details:

Creators:

Dyer, Stephen ; Boyd, Ryan ; Dyer, Justin

Dyer, Stephen ; Boyd, Ryan ; Dyer, Justin Less -
Corporate Creators:

Kansas State University. Dept. of Civil Engineering
Corporate Contributors:

Kansas. Dept. of Transportation. Bureau of Materials & Research
Subject/TRT Terms:

[+]

Condition Surveys Design Highways I22: Design Of Pavements, Railways And Guideways I23: Properties Of Road Surfaces Inertial Profilers Instruments For Measuring Roughness Pavement Management Systems Pavements Recommendations Repeatability Research Road Materials Road Profile Roughness Simulation Software
Publication/ Report Number:

KSU-99-7
Resource Type:

Brief
Geographical Coverage:

United States ; Kansas

United States ; Kansas Less -
Edition:

Summary Report
Corporate Publisher:

Kansas. Dept. of Transportation
Abstract:

The standards for instrumentation used to measure and reduce road profiles are not sufficiently defined to produce a highly repeatable measure of road roughness such as the International Roughness Index (IRI). According to KDOT, estimates from oversampled data from its spring 1997 road condition survey show the variability of the measure to be on the order of 15% (one standard deviation), whereas the calibration data would indicate an expected variability of less than 2%. The source of the variation is not known. It could be equipment malfunctions, natural variability of the road surface, or some other factor(s).
Format:

PDF
Funding:

C1157
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:cebe413b2f351e8ee77c2ee8a04beee50c9b6f8e822140465ad2f7276c777600
Download URL:

https://rosap.ntl.bts.gov/view/dot/38896/dot_38896_DS1.pdf
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Refinement of Measurement Techniques of Road Profile and International Roughness Index (IRI) to Support the KDOT Pavement Management System (PMS) Annual Road-Condition Survey Research [Summary]

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