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. In the research project 0-5627, the Performing Agency 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. Building upon the developments conducted in project 0-5627, the Performing Agency shall investigate and examine a large number of asphalt mixtures and surface treatment test sections. The test sections shall be periodically tested to measure their texture and skid resistance. Aggregate texture values before or after polishing shall be measured or collected from existing database. Using the test results and incorporating appropriate traffic data, the Performing Agency shall 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 shall be prepared at the conclusion of this project. This skid prediction capability shall allow the Receiving Agency to redesign their current method of achieving pavement friction. In the future, the Receiving Agency shall 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 can be incorporated into the Aggregate Quality Monitoring program and published in the Bituminous Rated Source Quality Catalog. The contractor can 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 shall work for both hot mix asphalt concrete and surface treatments.


  • English


  • Status: Completed
  • Funding: $24983.00
  • 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 Transportation Institute

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

    Chowdhury, Arindam

  • Start Date: 20121109
  • Expected Completion Date: 0
  • Actual Completion Date: 20150615
  • Source Data: RiP Project 39892

Subject/Index Terms

Filing Info

  • Accession Number: 01567088
  • Record Type: Research project
  • Source Agency: Texas Department of Transportation
  • Contract Numbers: 0-6746-01
  • Files: RiP, STATEDOT
  • Created Date: Jun 24 2015 1:01AM