The research reported here concerned the development of a system for measurement and automatic classification of pavement surface texture properties in accordance with the Schonfeld method. Electronic stereophotogrammetric techniques, previously used in the field of aerial mapping were first adapted to obtain digital height data from stereophotographs of the pavement surface. Algorithms were then developed to process these data on a computer and automatically classify the surface texture in accordance with the Schonfeld method, properly accounting for such effects as tire-pavement interaction and deep voids in the surface. Application of the computer algorithms was demonstrated to yield Schonfeld parameter values that correlated reasonably well with those obtained by the manual method, thereby proving the feasibility of an automated approach to the Schonfeld classification process. Preliminary designs of camera systems that could be mounted on highway vehicles and could collect the required photographic data were also developed and shown to be feasible. The automated procedure allows a much more comprehensive investigation of surface texture to be carried out than that allowed by the manual method. The detailed information obtained on pavement texture can provide valuable data for understanding the mechanics of skid resistance and the generation of noise due to vehicle tires. It can also be effective in the specification and control of pavement construction and for monitoring wear and polishing of pavements. /Author/

Media Info

  • Media Type: Print
  • Features: Figures; Photos; References; Tables;
  • Pagination: pp 57-61
  • Monograph Title: Pavement design, evaluation and performance
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00156004
  • Record Type: Publication
  • ISBN: 0309220710
  • Files: TRIS, TRB
  • Created Date: Aug 15 1977 12:00AM