Development of a Portable Pavement Surface Macrotexture Measurement System applied in China

Pavement surface macrotexture is an important characteristic for the safety and skid resistance of roads. In China, the sand patch test and vehicle laser profiler are the mainly method to measure Mean Texture Depth (MTD) and Mean Profile Depth (MPD). However, these methods have many deficiencies including time-consuming, traffic interruption, speed as well as distance limitation and road type. Moreover, the existing transformation model is derived from foreign specifications and does not apply to China. Given this, the objective of this study is to develop a portable pavement surface macrotexture measurement method, which can obtain voltage value by high precision laser sensor and data acquisition card, then the elevation values are converted through an established model of voltage and height, and the MPD is calculated based on the ASTM E1845-15. In view of the four mainly pavement type of SMA-13 asphalt concrete pavement, AC-13 asphalt concrete pavement, brooming cement concrete pavement and exposed aggregate cement concrete pavement, the repeatedly experiments, the correlation experiments with sand patch and the contrast experiment with vehicle laser profiler are conducted. The results show that this system has favorable stability (coefficient of variation, CV0.928). Meanwhile, the shift model of MPD with MTD are established to realize that the direct estimation of MTD data utilizing MPD data. This study presents a new measurement method in China, which improves the current detection technology and provides necessary support for maintenance and evaluation works in urban road, country road, newly-build road, parking, tunnel, bicycle lanes and short distance roads.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AFD20 Standing Committee on Pavement Condition Evaluation.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Lou, Yuexin
    • Lang, Hong
    • Chen, Shengdi
    • Lu, Jian John
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01697468
  • Record Type: Publication
  • Report/Paper Numbers: 19-03777
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:28AM