Transportation Informatics: Advanced Image Processing Techniques for Automated Pavement Distress Evaluation

Pavement condition assessment is a critical part of infrastructure management. Methods to reduce the time required to collect and analyze the data or to reduce the subjectivity in the interpretation of the data could be beneficial to parties responsible for the management of pavement structures. Two methods have been proposed, each of which addresses one of the limitations of the existing methods of pavement condition assessment. The first method is the development of a computerized interface and database for pavement condition assessment from digital photographs. The intent of using digital photographs rather than a windshield survey for data collection is to allow easier identification of conditions and re-evaluation in the event of discrepancies among results obtained by individual inspectors. The second method is to apply image processing techniques to the pavement condition assessment process from digital photographs. The intent of using digital photographs and image processing techniques is to automate the pavement condition assessment process, thereby removing the subjective nature of manual assessment. The researchers at the University of Detroit Mercy developed a computer interface which allows the user to review digital photographs from Google Earth, identify defects present.

• Record URL:
  http://mioh-utc.udmercy.edu/research/ts-18-p2/pdf/MIOH_UTC_TS18p2_2010_Final_Rpt_Transportation_Informatics_Advanced_Image_etc.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/24576
• Supplemental Notes:
  • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Michigan Ohio University Transportation Center

  University of Detroit Mercy, 4001 W McNichols Road
  Detroit, MI  United States  48221

  University of Detroit Mercy

  Department of Civil and Environmental Engineering
  4001 West McNichols Drive
  Detroit, MI  United States  48221-3038

  University of Toledo

  Department of Electrical Engineering and Computer Science
  Toledo, OH  United States  43606

  Michigan Department of Transportation

  State Transportation Building, 425 West Ottawa Street, P.O. Box 30050
  Lansing, MI  United States  48909

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Lynch, James
  • Dutta, Utpal
  • Salari, Ezzatollah
• Publication Date: 2010-9

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; References;
• Pagination: 23p

Subject/Index Terms

• TRT Terms: Asset management; Automation; Condition surveys; Digitized photography; Image processing; Pavement distress; Pavement management systems; Pavement performance
• Identifier Terms: Pavement Condition Index
• Subject Areas: Highways; Pavements; I23: Properties of Road Surfaces;

Filing Info

• Accession Number: 01357443
• Record Type: Publication
• Report/Paper Numbers: RC-1545I, MIOH UTC TS18p2 2011-Final- UDM
• Contract Numbers: 2007-0538
• Files: UTC, TRIS, USDOT, STATEDOT
• Created Date: Nov 29 2011 1:43PM