EARLY ANALYSES OF LONG-TERM PAVEMENT PERFORMANCE GENERAL PAVEMENT STUDIES DATA: LESSONS LEARNED AND RECOMMENDATIONS FOR FUTURE ANALYSES

The purpose of this report is to share the experience gained and lessons learned by research staff during early data analyses of the General Pavement Studies (GPS) and to recommend procedures for future analysts. A review of the techniques used is provided. Shortcomings of the Long-Term Pavement Performance (LTPP) Data Base, known at the time of early analyses, are discussed and data base expectations for future analyses were identified. Some interesting and useful distress and roughness prediction models were developed that illustrate the effects of several design variables. Other analytical procedures for developing predictive equations were identified and described, which may be of use in future analyses. Ten techniques used by the research staff for evaluating the American Association of Highway and Transportation Officials (AASHTO) design equations are identified and recommendations for future evaluations provided.

• Record URL:
  http://onlinepubs.trb.org/onlinepubs/shrp/SHRP-P-680.pdf
• 
• Supplemental Notes:
  • 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
• Corporate Authors:

  Strategic Highway Research Program

  National Research Council, 2101 Constitution Avenue, NW
  Washington, DC  United States  20418
• Authors:
  • Rauhut, J B
  • Simpson, A L
  • Daleiden, J F
  • Darter, M I
  • Owusu-Antwi, E
  • Pendleton, O J
• Publication Date: 1994-2

Language

• English

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: 95 p.

Subject/Index Terms

• TRT Terms: Analysis; Correlation analysis; Data analysis; Databases; Equations; Evaluation; Information, data, and knowledge; Mathematical analysis; Pavement performance; Recommendations; Statistical analysis; Statistical bias; Variables
• Identifier Terms: American Association of State Highway and Transportation Officials; General Pavement Studies (Long-Term Pavement Performance Program); Long-Term Pavement Performance Program; Strategic Highway Research Program
• Uncontrolled Terms: Data needs; Limitations
• Old TRIS Terms: Analytical techniques; Correlations
• Subject Areas: Administration and Management; Data and Information Technology; Highways; Research; I10: Economics and Administration;

Filing Info

• Accession Number: 00663097
• Record Type: Publication
• Report/Paper Numbers: SHRP-P-680
• Files: TRIS, TRB
• Created Date: Jul 13 1994 12:00AM