FLEXIBLE PAVEMENT PERFORMANCE PREDICTION MODEL ON THE BASIS OF PAVEMENT CONDITION DATA

This report documents the development of the pavement performance prediction models for the pavements in District 5, Florida Department of Transportation. The development of performance prediction models was primarily based on the statistical regression method. Efforts were first focused on the acquisition of all possible predictor variables for the pavement performance modeling. A pilot county was selected from the nine counties in District 5, and a prediction model was developed. After the pilot model was investigated and verified, the regression modeling approach was employed on all nine counties in District 5. The proposed models include predictor variables such as current year condition rating, slope of degradation of previous years, and current annual average daily traffic. The predicted year 2000, 2001 and 2002 crack condition ratings are provided. An estimated pavement remaining life based on the condition survey is also presented according to the predictive condition rating.

  • Corporate Authors:

    University of Central Florida, Orlando

    Department of Civil and Environmental Engineering
    P.O. Box 162450
    Orlando, FL  United States  32816-2450

    Florida Department of Transportation

    Haydon Burns Building, 605 Suwanee Street
    Tallahassee, FL  United States  32301
  • Authors:
    • Kuo, S-S
    • Hoffman, L L
    • Kong, Fandong
    • Gianesini, G
  • Publication Date: 2000-5

Language

  • English

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: 165 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00794834
  • Record Type: Publication
  • Report/Paper Numbers: WPI 403703,, Final Report
  • Contract Numbers: BB-886
  • Files: TRIS, ATRI, STATEDOT
  • Created Date: Jun 29 2000 12:00AM