CORRELATION OF SUBJECTIVE PANEL RATINGS OF PAVEMENT RIDE QUALITY WITH PROFILOMETER-DERIVED MEASURES OF PAVEMENT ROUGHNESS (ABRIDGMENT)
Results of a series of comparative, statistical analyses that were accomplished to relate subjective ratings of pavement ride quality to profilometer-derived measures of pavement roughness are reported. The goal was to develop preferred methods of analysis that can be used to develop transforms that will allow subjective ratings to be predicted from objective measures. The major conclusions are that: (a) it is possible to determine those specific frequency bands that are most related to subjective ride quality and (b) the correlations between the profile power levels in these frequency bands and the mean panel ratings are very high, indicating excellent agreement.
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Supplemental Notes:
- Publication of this paper sponsored by Committee on Surface Properties-Vehicle Interaction. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
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Authors:
- Janoff, M S
- Davit, P S
- Nick, J B
- Publication Date: 1984
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 40-41
- Monograph Title: SURFACE PROPERTIES-VEHICLE INTERACTION
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Serial:
- Transportation Research Record
- Issue Number: 1000
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Correlation analysis; Profilometers; Ride quality; Statistical analysis
- Old TRIS Terms: Subjective
- Subject Areas: Data and Information Technology; Highways; Pavements; Safety and Human Factors; I23: Properties of Road Surfaces;
Filing Info
- Accession Number: 00450724
- Record Type: Publication
- ISBN: 030903809X
- Report/Paper Numbers: HS-039 026
- Files: HSL, TRIS, TRB
- Created Date: Dec 31 1985 12:00AM