U.S. Department of Transportation
Federal Highway Administration
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Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations
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Publication Number: FHWA-RD-01-143 Date: October 2003 |
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This report documents a study undertaken to conduct a detailed review of the distress data collected for the Long-Term Pavement Performance (LTPP) project. As a result of this work, a more in-depth review of the distress data has been completed and it has improved the understanding of the compatibility of distress data collected using different methodologies to facilitate future analysis. As a result of this study, it was found that distress data collected from the three different methodologies for LTPP may be combined without concern for systematic differences between the data sets.
This report will be of interest to highway agency engineers involved in the collection, processing, and interpretation of cracking data for the purpose of pavement management.
T. Paul Teng, P.E.
Director, Office of Infrastructure
Research and Development
NOTICE
This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S. Government assumes no liability for its contents or use thereof. This report does not constitute a standard, specification, or regulation.
The U.S. Government does not endorse products or manufacturers. Trade or manufacturers' names appear herein only because they are considered essential to the objective of this document.
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16. Abstract After thorough review, two-thirds of the LTPP distress data were considered to be in "good shape" and could be included in the consolidated data set with no further effort. The other one-third of the data will require additional review by the agencies that performed the data collection. Overall, the discrepancies found between surveys were independent of distress methodology. The data sets from these different data collection methods could be combined without concern about a consistent bias existing in the data. Of the discrepancies that were observed, 17 percent could be attributed to human error, 6 percent to data collection methodology, 36 percent to the strategies used in this review, and 41 percent were unidentifiable. |
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Form DOT F 1700.7 (8-72) Reproduction of completed page authorized
CHAPTER 2. GRAPHICAL REVIEW PROCESS
CHAPTER 3. CATEGORIES AND PROBABLE CAUSES OF DISCREPANT SURVEY DATA
CHAPTER 4. AUTOMATION OF REVIEW PROCESS
CHAPTER 5. DETAILED REVIEW OF DISCREPANT MANUAL SURVEYS
CHAPTER 6. CONCLUSIONS AND RECOMMENDATIONS
APPENDIX A. ILLUSTRATION OF VARIOUS DISCREPANCIES
APPENDIX B. DISTRESS QC USER'S GUIDE
APPENDIX C. HMA CONSOLIDATED DATA SET
APPENDIX D. JC CONSOLIDATED DATA SET
APPENDIX E. CRC CONSOLIDATED DATA SET
APPENDIX F. DISCREPANCIES IN HMA DISTRESS
APPENDIX G. DISCREPANCIES IN JC DISTRESS
APPENDIX H. DISCREPANCIES IN CRC DISTRESS