Adoption of automated pavement distress data collection using Laser Crack Measurement System

Collaborator(s): Not applicable

Project Completion: Feb 2016

Objective(s):

  • To standardize the procedures of data collection for cracking and ravelling using Laser Crack Measurement System
  • To develop the procedures for data processing
  • To analyze the processed distresses statistically

The road pavements in Singapore totalling over 1,500 lane-km are surveyed annually to monitor and evaluate their functional performance based on pavement distresses, including International Roughness Index, rut depth and texture depth. However, other critical indicators to pavement performance, namely pavement ravelling and cracking, have been neglected by the local authority. In addition, there is limited knowledge available on pavement performance regarding ravelling and cracking since neither a comprehensive distress identification standard nor specification has been developed.

In view of this issue, a 3D-laser profiler – an automated Laser Crack Measurement System (LCMS) was introduced since the characteristics of ravelling and cracking require 3D-profile scanning that the existing 2D-laser profiler is incapable to satisfy the needs. Nonetheless, this new technique has to be validated with other established means of measurement in order to convince the local authority for acceptance and adoption. As such, texture depth was studied in this research work as it is one of the important characteristics of a pavement surface that relates to friction, noise and ravelling as well as changes over time due to aging, contamination and loss of aggregate. The at-traffic-speed measured Mean Texture Depth from LCMS was validated with the results of static Sand Patch Test Method and ELAtextur device. Our study findings showed that very good linear correlations were achieved among the three different means of measurement.

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