Effectiveness-Based Pavement Preservation Selection Based on Statistical Analysis of Long Term Pavement Performance Data

Pavement preservation can retard development of pavement distresses and improve pavement function performance. Quantification of the effectiveness of preservation has important implications for the selection of pavement maintenance strategies and decision making in pavement management system. Most of previous studies mainly focused on the effectiveness of preservation on pavement serviceability index (PCI) and roughness; few studies considered the effectiveness of preservation on individual pavement distress and safety performance. The objective of this study is to investigate the effectiveness of pavement preservation on mitigating different asphalt pavement distresses and restoring pavement surface friction using the extracted data from the Long Term Pavement Performance (LTPP) program and advanced statistical analysis methods. The asphalt pavement distress considered in the analysis includes fatigue cracking, longitudinal cracking, transverse cracking, and rutting. It is expected that the analysis results can aid state and municipal agencies better select the appropriate maintenance treatments to maximize the cost-effectiveness of pavement preservation and increase the longevity of transportation infrastructure. The proposed research is closely related to the U.S. Department of Transportation (USDOT) research goal and University Transportation Research Center (UTRC) research focus area on State of Good Repair.

Language

  • English

Project

  • Status: Active
  • Funding: $31106.00
  • Contract Numbers:

    49997-55-24

  • Sponsor Organizations:

    University Transportation Research Center

    City College of New York
    Marshak Hall, Suite 910, 160 Convent Avenue
    New York, NY  United States  10031
  • Project Managers:

    Eickemeyer, Penny

  • Performing Organizations:

    Rutgers University, New Brunswick

    New Brunswick, NJ  United States  08901
  • Principal Investigators:

    Wang, Hao

  • Start Date: 20130101
  • Expected Completion Date: 0
  • Actual Completion Date: 20140630
  • Source Data: RiP Project 33116

Subject/Index Terms

Filing Info

  • Accession Number: 01497000
  • Record Type: Research project
  • Source Agency: University Transportation Research Center
  • Contract Numbers: 49997-55-24
  • Files: UTC, RiP
  • Created Date: Oct 29 2013 1:00AM