Developing a Road Condition Indicator for Fretting

Stripping (fretting) of road surfaces is a growing concern for road authorities in Scotland. Current analysis of condition survey data does not include indicators to identify locations that are affected by stripping, making scheme identification and programming difficult. It has been observed that stripping can be associated with higher levels of texture reported in the Surface Condition Assessment for the National Network of Roads (SCANNER) survey. Therefore an investigation into the use of texture data to provide an indicator of stripping has been carried out. Assessment of the relationship between the existing SCANNER parameters and the results of visual surveys (VCS) led to the conclusion that there is little agreement between the current SCANNER texture parameters and stripping reported in the VCS. Thus these parameters cannot be used to reliably identify stripping on Scottish trunk roads. Raw Condition Data (RCD) provided by the SCANNER survey has also been used to investigate the application of an algorithm developed in the Highways England Traffic Speed Condition Survey (TRACS) for the measurement of stripping. This parameter has shown more potential, but yields complex results. An initial assessment shows a reasonably low level of true positive, but several false positive reports of stripping. But analysis indicates valid reasons for the false positives, many of which are associated with the reporting of features that are not stripping, but are defects. The algorithm is also limited by the low resolution level available in the texture data in comparison with the levels upon which the algorithm was developed. The authors conclude that it is necessary for the work to continue, to obtain a fuller understanding of the potential of this approach in assessing stripping on Scottish trunk roads.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 22p

Subject/Index Terms

Filing Info

  • Accession Number: 01728744
  • Record Type: Publication
  • ISBN: 9781912433940
  • Report/Paper Numbers: PPR911, TS832733
  • Files: TRIS
  • Created Date: Jan 28 2020 9:46AM