Prediction Models for Skid Resistance of Asphalt Pavements and Seal Coat

Maintaining adequate level of skid resistance is essential for road safety. As part of their regular maintenance program, many departments of transportation collect skid data on roads to ensure sufficient traction between road surface and vehicle tires. This study developed models for skid resistance of asphalt mix and seal coat surfaces. These models express the skid number over time as a function of aggregate gradation, aggregate resistance to abrasion and polishing, and traffic level. The researchers examined 70 test sections in this study, half of which had an asphalt mix surface while the other half had seal coat surfaces. Skid data were collected using a skid trailer while surface friction characteristics of the test sections were evaluated using a dynamic friction tester and circular texture meter. In addition, the change in aggregate shape properties due to abrasion and polishing was studied using the Micro-Deval test and Aggregate Image Measurement System (AIMS). The results demonstrated that the developed models provide good correlation with the skid measurements in the field. This study produced a revised version of a utility called skid analysis of asphalt pavement (SAAP) that incorporates the new models for skid resistance of both asphalt mixes and seal coat. The SAAP can be used by pavement management agencies and contractors to estimate the skid resistance over time.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AFK40 Standing Committee on Surface Requirements of Asphalt Mixtures.
  • Authors:
    • Aldagari, Sand
    • Al-Assi, Mohammad
    • Kassem, Emad
    • Chowdhury, Arif
    • Masad, Eyad
    • ORCID 0000-0002-7391-6293
  • Conference:
  • Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 9p

Subject/Index Terms

Filing Info

  • Accession Number: 01661910
  • Record Type: Publication
  • Report/Paper Numbers: 18-05541
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 6 2018 4:22PM