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Automatic pavement crack rating for network-level pavement management system

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dc.contributor.author Tan, JY
dc.contributor.author Nguyen, T
dc.contributor.author Kapilan, S
dc.contributor.author Nyunt, TT
dc.contributor.author Lim, YH
dc.contributor.author Leong, YF
dc.contributor.editor Pasindu, HR
dc.contributor.editor Bandara, S
dc.contributor.editor Mampearachchi, WK
dc.contributor.editor Fwa, TF
dc.date.accessioned 2023-01-24T04:26:07Z
dc.date.available 2023-01-24T04:26:07Z
dc.date.issued 2021
dc.identifier.citation ***** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20248
dc.description.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). en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Pavement crack en_US
dc.subject LCMS-2 en_US
dc.subject Automatic classification en_US
dc.subject Crack rating en_US
dc.subject Pavement management system en_US
dc.title Automatic pavement crack rating for network-level pavement management system en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.year 2021 en_US
dc.identifier.pgnos pp. 83-97 en_US
dc.identifier.proceeding Proceedings of 12th International Conference on Road and Airfield Pavement Technology, 2021 en_US
dc.identifier.email junyew.tan@samwoh.com.sg en_US
dc.identifier.doi https://doi.org/10.1007/978-3-030-87379-0_6 en_US


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