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An algorithm for automated estimation of road roughness from mobile laser scanning data

Kumar, Pankaj Pramod and Lewis, Paul and McElhinney, Conor P. and Abdul Rahman, Alias (2015) An algorithm for automated estimation of road roughness from mobile laser scanning data. Photogrammetric Record, 30 (149). pp. 30-45. ISSN 0031-868X

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Official URL: http://dx.doi.org/10.1111/phor.12090


Road roughness is the deviation of a road surface from a designed surface grade that influences safety conditions for road users. Mobile laser scanning (MLS) systems provide a rapid, continuous and cost-effective way of collecting highly accurate and dense 3D point-cloud data along a route corridor. In this paper an algorithm for the automated estimation of road roughness from MLS data is presented, where a surface grid is fitted to the lidar points associated with the road surface. The elevation difference between the lidar points and their surface grid equivalents provides residual values in height which can be used to estimate roughness along the road surface. Tests validated the new road-roughness algorithm by successfully estimating surface conditions on multiple road sections. These findings contribute to a more comprehensive approach to surveying road networks

Item Type:Article
Uncontrolled Keywords:roughness; surface grid
Subjects:G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:Geoinformation and Real Estate
ID Code:57734
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 04:07
Last Modified:01 Feb 2017 01:05

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