Potentials of Local Spatial Structure Features of Asphalt Pavement 3-D Macrotexture for Skid Resistance Evaluation

An appropriate evaluation of pavement macrotexture is helpful in understanding and improving skid resistance. This work employs the indicators based on the local binary pattern (LBP) to characterize the features of asphalt pavement 3-D macrotexture. There are 37 field sites included in the data collection, which cover 6 types of asphalt pavement surfaces such as dense asphalt concrete (DAC), stone matrix asphalt (SMA), rubber asphalt concrete (RAC), ultra-thin wearing course (UTWC), micro-surfacing (MS), and open graded friction course (OGFC). The uniform LBPs constitute the major part of asphalt pavement macrotexture which is no less than 95% of all LBPs. There are some uniform LBPs whose mean variances significantly correlate with skid resistance. While the relationship between the frequencies of the uniform LBPs and skid resistance is not significant. The correlation coefficients between V₂, V₃, V₄, V₅ and the friction coefficient at speed of 60km/h (DFT60) are 0.5095, 0.5747, 0.6425, and 0.5929, respectively, while MTD just has a correlation coefficient of 0.4483 with DFT60. It is shown that the mean variances of some uniform LBPs have advantages over MTD for skid resistance evaluation. For pavement macrotexture, the mean variance of LBP describes the mean local height difference of the corresponding local structure. It is a good option for pavement skid resistance evaluation.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 10p
  • Monograph Title: Proceedings of the 25th World Road Congress - Seoul 2015: Roads and Mobility - Creating New Value from Transport

Subject/Index Terms

Filing Info

  • Accession Number: 01689123
  • Record Type: Publication
  • ISBN: 9782840604235
  • Files: TRIS
  • Created Date: Dec 20 2018 2:56PM