Validation of TxDOT Flexible Pavement Skid Prediction Model

Pavement skid resistance is primarily a function of the surface texture, which includes both microtexture and macrotexture. Microtexture is primarily an aggregate surface characteristic that provides a rough surface which in turn disrupts the continuity of the water film and produces frictional resistance between the tire and pavement by creating intermolecular bonds. Macrotexture is an overall asphalt mixture characteristic, which provides surface drainage paths for water to drain from the contact area between the tire and pavement. In recently completed Texas Department of Transportation (TxDOT) research project 0-5627, the researchers developed a method to predict asphalt pavement skid resistance based on inputs that describe aggregate texture before and after polishing, gradation of asphalt mixture, and traffic. Although 0-5627 research team conducted extensive field testing on hot mix asphalt (HMA) surfaces, the evaluation of surface treatment skid resistance was limited to the analyses of corresponding data from PMIS database. There is need for further testing so that HMA asphalt prediction model can be tailored to the skid prediction model of surface treatment; and skid prediction model can be validated at wide variety of conditions and for more asphalt mixture types. Building upon the developments in project 0-5627, researchers will investigate and examine a large number of asphalt mixtures and surface treatment test sections. The test sections will be periodically tested to measure their texture and skid resistance. Aggregate texture values before or after polishing will be measured or collected from existing database. Using the test results and incorporating appropriate traffic data, researchers will validate and modify the skid prediction model and expand the model to include skid prediction for surface treatment. Training materials on the application of the new model will be prepared as well. This skid prediction capability will allow TxDOT to redesign their current method of achieving pavement friction. In the future, TxDOT could specify the level of pavement skid needed to meet the traffic demand of individual pavement sections instead of a surrogate surface aggregate classification. Aggregate texture could be incorporated into the Aggregate Quality Monitoring program and published in the Bituminous Rated Source Quality Catalog. The contractor could then use the skid prediction model to select combinations of aggregate sources and mixture gradations suitable to achieve the required skid number for that particular project. This procedure would work for both hot mix asphalt concrete and surface treatments.


  • English


  • Status: Terminated
  • Funding: $292454.00
  • Contract Numbers:


  • Sponsor Organizations:

    Texas Department of Transportation

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

    Pete, Kevin

  • Performing Organizations:

    Texas A&M Transportation Institute, College Station

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Chowdhurry, Arif

  • Start Date: 20121109
  • Expected Completion Date: 0
  • Actual Completion Date: 20141031
  • Source Data: RiP Project 36798

Subject/Index Terms

Filing Info

  • Accession Number: 01567103
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-6746
  • Files: RiP, STATEDOT
  • Created Date: Jun 24 2015 1:01AM