Quantification of the Performance of Preventative Maintenance and Rehabilitation Strategies

The Texas Department of Transportation (TxDOT) has been replacing their PMIS system by Pavement Analyst (PA) in one of the most ambitious and significant improvements for the planning, construction, and management of their highway infrastructure, which is the most important asset of the State of Texas. The implementation of PA has been a great success and, although some of the benefits are evident already, most of the benefits will be realized in time by a more cost-effective and objective management of the pavement infrastructure. A critical component of PA are the pavement performance models and the effect of maintenance and rehabilitation activities on the expected pavement performance. However, the current performance models have been mostly inherited from the previous PMIS and are not accurate enough resulting in sub-optimal strategy selection and resource allocation. This research will use historical data contained in Pavement Analyst and advanced big data analysis techniques to develop accurate performance models based on actual data from Texas highway network. Models for flexible and rigid pavements, including JCP, JRCP and CRCP, will be developed.


  • English


  • Status: Active
  • Funding: $349885
  • Contract Numbers:


  • Sponsor Organizations:

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483
  • Project Managers:

    Steele, Joanne

  • Performing Organizations:

    Center for Transportation Research

    University of Texas at Austin
    1616 Guadalupe, Suite 4.202
    Austin, TX  United States  78701
  • Principal Investigators:

    Prozzi, Jorge

  • Start Date: 20180901
  • Expected Completion Date: 20200831
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01690717
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-6988
  • Files: RiP, STATEDOT
  • Created Date: Jan 9 2019 6:48PM