Benefit-Cost Approach for Using Continuous Friction Measurements to Choose a Pavement Surface Treatment

Motor vehicle crashes continue to be a leading cause of death in the United States, which makes them the primary driving force behind the development of highway safety programs that aim to reduce related fatal and serious injuries. A key component of these safety programs is that they are driven by safety data, which must be collected and analyzed in order to identify and choose sites and countermeasures that reduce crash risk in a cost-effective manner. Skid resistance is an example of a parameter that can be routinely monitored with testing equipment and used as a measure of safety. The relationship between crash risk and skid resistance is well grounded in decades of literature and serves as the foundation for establishing investigatory levels of skid resistance. Investigatory levels are used in pavement friction management programs found in countries such as Australia, New Zealand, and the United Kingdom to identify low-friction sites with a high potential for skidding crashes. Low-friction sites are investigated to determine the need for treatment. For the investigation, friction measurements are included in regression models, such as safety performance functions (SPFs), and used along with the Empirical Bayes (EB) method in a benefit-cost analysis to predict the potential benefits of improving friction with surface treatment at low-friction sites. In this paper, it is shown that a pilot application of this methodology on a small network can predict crash reductions and assist in choosing friction improvement treatment

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: References; Tables;
  • Pagination: 13p

Subject/Index Terms

Filing Info

  • Accession Number: 01764260
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-00051
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:23AM