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Curve identification for high friction surface treatment (HFST) installation recommendation : final report.
  • Published Date:
  • Language:
Filetype[PDF-2.32 MB]

  • Corporate Creators:
    Georgia Institute of Technology
  • Report Number:
    FHWA-GA-17-1505 ; RP 15-05 ;
  • Resource Type:
  • Geographical Coverage:
    United States ; Georgia ;
  • Corporate Publisher:
    Georgia. Dept. of Transportation. Office of Research
  • Format:
  • Description:
    The objectives of this study are to develop and deploy a means for cost-effectively extracting curve information using the widely available GPS and GIS data to support high friction surface treatment (HFST) installation recommendations (i.e., start and end points of HFST). This is accomplished by developing a Smart Curve Information Extraction (Smart-CIE) tool for extracting curve information that is essential but often lacking for various safety analyses. The developed Smart-CIE tool consists of three core components, including a) an automated curve identification component that implements an algorithm previously developed by the authors to automatically extract curve information, including the curve location, radius, the point of curve (PC), and the point of tangent (PT) of every curve, b) a map-based quality assurance and quality control (QA/QC) component to incorporate engineers’ knowledge of roadway geometry, and c) a map-based curve information reporting component. In addition, an extended component, HFST Start/End Points Identification, was developed in the SMART-CIE to determine the start and end points for HFST installation using the extracted PC and PT and the Texas Transportation Institute (TTI) HFST installation guideline. A case study, using GPS data collected on 31 miles of State Route 2 in Georgia, was conducted to demonstrate the superior capability of the Smart-CIE for extracting curve information in a reliable and efficient manner and the capability of accurately determining the HFST start and end points for a cost-effective HFST installation, which results in an estimated saving of $600,000 on State Route 2.

  • Funding:
    RP 15-05
    PI# 0013631
  • Supporting Files:
    No Additional Files
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