Estimating Pavement Macro-texture Mean Profile Depth from One Image (Poster)

Pavement surface texture can provide important information regarding pavement friction and safety. The primary index used to characterize macro-texture is mean profile depth (MPD). Researchers found that more work is needed to establish better ways of quantifying texture. The analysis of pixel intensities of one image can be used to measure how rough the surface is although it requires multiple images to recover the three dimensional heights of a surface. This research presents a method to estimate MPD from one image of the pavement. The test site is a new Portland cement concrete pavement section with 14 types of texturing at the south extension of the north-south tollway (I-355), east of Joliet - Illinois, US. MPD of the pavement surface can be estimated from only one pavement image. This method might be one of the easiest ways to predict MPD with reasonable accuracy. This method was verified by photometric stereo techniques. A linear relationship exists between PSE and PSE-3D. PSE might be a representative of PSE-3D with significant accuracy. No significant relationship was found between PSE and FN. For the covering abstract of this conference see ITRD record number 201310RT334E.

Language

  • English

Media Info

  • Pagination: 1 p.
  • Monograph Title: 2013 Conference and Exhibition of the Transportation Association of Canada - Transportation: Better - Faster - Safer

Subject/Index Terms

Filing Info

  • Accession Number: 01517985
  • Record Type: Publication
  • Source Agency: Transportation Association of Canada (TAC)
  • Files: ITRD, TAC
  • Created Date: Mar 11 2014 10:57AM