Curve identification for high friction surface treatment (HFST) installation recommendation : final report.
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2016-09-01
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Edition:Final report
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Abstract: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 costeffective ; HFST installation, which results in an estimated saving of $600,000 on State Route 2.
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Main Document Checksum:urn:sha-512:6ec76da035048995b3a37e3a71ad0fd3a91a198a6b740386fe9512e90003e1ce73a99f81576051b7bd5a0ff3d51c2b33f89faa252450da6c781ad4d561da7370