Abstract:
Cracking is one of the important distresses that can be used to trigger
pavement maintenance treatments. Traditional crack rating is commonly based on the
Pavement Condition Index (PCI) approach involving time-consuming visual inspection
and manual classification processes. The emergence of automatic and high-speed
laser imaging devices significantly improves the efficiency and productivity of pavement
crack data collection but it requires suitablemethods and concepts for automatic
crack ratings. This paper discusses the development of an automatic pavement crack
rating using crack data collected from a high speed 3D sensor. Two levels of crack
ratings are proposed: Level 1 provides detailed crack information including cracking
extent, crack types and severity, and Level 2 is a macro-indicator of general/overall
cracking extent on a pavement section of 10 m length. The method and concept were
developed and tested initially for Singapore expressway network under the effort of
the Land Transport Authority (LTA) of Singapore to integrate crack data into the
pavement management system (PMS).
