Detecting asphalt pavement raveling using emerging 3D laser technology and macrotexture analysis.

Details

• Creators:
  Tsai, Yichang (James) ; Wang, Zhaohua
• Corporate Creators:
  Georgia Institute of Technology
• Corporate Contributors:
  United States. Federal Highway Administration
• Subject/TRT Terms:
  • Asphalt pavements
  • Stripping (Pavements)
  • Algorithms
  • Field tests
  • Macrotexture
  • Lasers
  • Automatic data collection systems
• Publication/ Report Number:
  GA-14-1308
• Resource Type:
  Tech Report
• Geographical Coverage:
  Georgia
• Corporate Publisher:
  Georgia. Department of Transportation. Office of Research
• Description:
  This research project comprehensively tested and validated the automatic raveling detection, classification,
  
  and measurement algorithms using 3D laser technology that were developed through a project sponsored by
  
  the National Cooperative Highway Research Program (NCHRP) Innovations Deserving Exploratory
  
  Analysis (IDEA) program. The raveling condition survey protocol used in the Georgia Department of
  
  Transportation (GDOT) was adopted in the testing and validation, though it can be easily extended to other
  
  highway agencies’ protocols. Four miles of test sections on I-85 and the entire asphalt pavements (61 miles)
  
  on I-285 were selected for validating the developed algorithms. The ground truth data was established by in-field investigation and in-office review of videolog images and 3D laser data with the help of GDOT’s
  
  pavement engineers. The results have demonstrated the promising capabilities of automatically detecting
  
  and measuring asphalt pavement raveling using the developed algorithms and 3D laser technology to assist
  
  in transportation agencies’ raveling data collection. Potentially, it will save tremendous manual effort for
  
  field surveys, improve data accuracy, and help highway agencies make more informed decisions on
  
  pavement maintenance and rehabilitation.
• Format:
  PDF
• Funding:
  RP 13-18
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29371/dot_29371_DS1.pdf
• File Type:
  [PDF - 3.06 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:aa2797c35873eabf88ebf0fd9010bbe835a279167bbe2a852fe9a0ac8d8d76dab3af07fc5404197202d9cc2f3082a765b1c043eb40fbf4cbaca57ddc1489971a