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
• Abstract:
  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.
  More +
• 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