A New Rutting Measurement Method Using Emerging 3D Line-Laser-Imaging System




James Yi-Chang Tsai;Feng Li;Yi-Ching Wu

Key Words

3D line laser imaging technology ; Asphalt pavement ; Pavement condition assessment ; Rutting measurement


International Journal of Pavement Research and Technology

Volume or Term/Year and Month of Publication

6卷5期(2013 / 09 / 01)

Page #

667 - 672

Content Language


English Abstract

Rut depth is one of the important pavement performance measures. Rut depth has traditionally been measured using a manual rutting measurement, which is time-consuming, labor-intensive, and dangerous. More recently, point-based bar systems (e.g., 3, 5 points) have been used by some agencies. However, studies have shown these systems might not be able to accurately measure rut depth because of limited number of sample points. There is a need to improve the accuracy and reliability of rutting measurement. With the advances of sensing technology, emerging 3D line-laser-imaging system is now capable of acquiring high-resolution transverse profile of more than 4,000 points. This provides a great opportunity for developing a reliably and accurately rut measurement method. However, there is no framework to handle this overwhelming amount of 3D range-based pavement data. A framework is proposed in this paper to acquire, process, analyze, and visualize the high-resolution 3D pavement data collected using emerging 3D line-laser-imaging system. The proposed framework includes 1) data acquisition using the sensing system, 2) data processing, 3) data segmentation, 4) data statistical analysis, 5) data visualization, and 6) decision support. A case study carried on Interstate Highway 95 (I-95) near Savannah, Georgia, at highway speed is used to demonstrate of the applicability of the proposed framework.

Topic Category 工程學 > 土木與建築工程
工程學 > 道路與鐵路工程
  1. FHWA (2004). Highway Performance Monitoring System - Field Manual, Office of Highway Policy Information, Federal Highway Administration, Department of Transportation, Washington, DC, USA.
  2. Ksaibati, K. (1996). Comparison of Rut-Depth Measurements Obtained with Four Different Techniques, Road and Transport Research, 5(2), pp. 80-91.
  3. Fofi, D., Sliwa, T., and Voisin, Y. (2004). A comparative survey on invisible structured light, Proceedings of 2004 SPIE, pp. 90-98, San Jose, California, USA.
  4. Li, F. (2012). A Methodology For Characterizing Pavement Rutting Condition Using Emerging 3D Line Laser Imaging Technology, PhD Dissertation., Georgia Institute of Technology, Atlanta, Georgia, USA.
  5. McGhee, K.H. (2004). Automated Pavement Distress Collection Techniques: A Synthesis of Highway Practice, NCHRP Synthesis 334, Transportation Research Board, Washington, DC, USA.
  6. HTC (2001). Validation of ROMDAS transverse profile logger. HTC Infrastructure Management Ltd., Auckland, New Zealand.
  7. Mallela, R. and Wang, H. (2006). Harmonising Automated Rut Depth Measurements - Stage 2, Land Transport New Zealand, Waterloo Quay, Wellington, New Zealand.
  8. Simpson, A.L. (2001). Measurement of Rutting in Asphalt Pavements, PhD Dissertation, University of Texas at Austin, Austin, Texas, USA.
  9. Tsai, Y.J., Kaul, V., and Wang, Z. (2010). Characterizing Point-based Transverse Pavement Rut Measurement Errors Using Emerging 3D Continuous Profile-based Laser Technology, Proceedings of 2010 NDE/NDT for highways and bridges conference: Structural Materials Technology (SMT), New York, USA.
  10. Pavemetrics Systems Inc. (2010). LCMS Data Processing Library: User Manual (Rev 1.3). Pavemetrics Systems Inc., Quebec City, Quebec, Canada.