Automated Detection of Isolated Ruts on I-95 Using 3D Continuous Transverse Profiles

To detect isolated rutting is important for improving roadway safety and for determining low-cost, localized treatment. However, it is a challenge to detect isolated rutting due to the lack of data acquisition technology and automatic detection method in the past. For the first time, this paper proposes a method to automatically identify the isolated rutting using the 3D continuous transverse profile data collected by a 3D line laser imaging system. Pavement engineering knowledge has been extensively incorporated to establish the criteria for identifying isolated ruts and their termini. A case study is performed using the actual data collected on the southbound lanes of Interstate 95 (I-95) near Savannah, Georgia. The results show that two isolated ruts (300ft and 481ft) can be successfully identified. The proposed method along with the 3D line laser imaging technology is promising for highway agencies to address the isolated-rutting-related highway safety and maintenance issues.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AFD20 Pavement Monitoring and Evaluation
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Tsai, Yichang (James)
  • Li, Feng
  • Wang, Zhaohua
• Conference:
  • Transportation Research Board 91st Annual Meeting
  • Location: Washington DC, United States
  • Date: 2012-1-22 to 2012-1-26
• Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 12p
• Monograph Title: TRB 91st Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Data collection; Rutting
• Identifier Terms: Interstate 95
• Uncontrolled Terms: Automated detection; Laser imaging; Transverse profile data
• Geographic Terms: Savannah (Georgia)
• Subject Areas: Highways; Maintenance and Preservation; Pavements; I60: Maintenance;

Filing Info

• Accession Number: 01372796
• Record Type: Publication
• Report/Paper Numbers: 12-4277
• Files: TRIS, TRB
• Created Date: Jun 15 2012 4:04PM