Using Pavement Texture to Screen and Target Annual Skid Number Assessment
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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Using Pavement Texture to Screen and Target Annual Skid Number Assessment



English
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Details:

  • Creators:
  • Corporate Creators:
    Parametrix
  • Corporate Contributors:
    Utah. Dept. of Transportation. Research Division
  • Subject/TRT Terms:
  • Publication/ Report Number:
    UT-19.11
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    United States
  • Edition:
    Final, Mar 2018 to Mar 2019
  • Corporate Publisher:
    Parametrix
  • Abstract:
    The purpose of this study is to develop an understanding of how pavement texture data can be used to inform roadway safety and develop a more targeted approach to Skid Number (SN) assessment with focus on high risk areas. Pavement texture data is a new data source for the Utah Department of Transportation (UDOT). Skid data and pavement texture data from 2017 were compared for a large, statewide dataset. Statistical analysis indicates there is not a strong correlation for SN and texture depth. Pavement texture, however, was found to be sensitive to surface type and some surface types represent a stronger correlation than others. Screening thresholds were developed for texture depth to help screen and refine skid data collection efforts for chip seal pavements. Cost saving estimates from using the screening thresholds for a case study result tens of thousands of dollars per year, however, given the duplication of screened out routes to reach areas to measure, the cost savings could be less. Texture thresholds were evaluated to target areas for skid data collection at more frequent intervals for stone matrix asphalt (SMA) pavements. Due to the weak skid data and texture data correlation, this method would still result in a portion of areas targeted for measurement that already have a good SN. A comparison of wet pavement crash history to pavement texture did not yield a strong correlation.
  • Format:
    PDF
  • Funding:
    19-8083
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:
    Filetype[PDF-3.25 MB]

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