United States Department of Transportation
i
Evaluation of Cost-effective Pavement Deformation Detection technologies using LiDAR
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2023-04-01
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[PDF-4.52 MB]
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Edition:Final Report
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Abstract:Cross slope, the transverse slope with respect to the horizon, is a critical geometric feature of pavement surfaces as it affects safety due to its relationship to the potential of hydroplaning during wet weather. Appropriate cross slopes provide adequate drainage so water will run off the surface to a drainage system such as street gutters (urban streets) or side ditches (rural facilities). An inadequate cross slope could lead to several safety issues, including hydroplaning, loss of control, and run-off-road crashes. This research study compared two methods of data collection, namely a conventional survey and a LiDAR-based survey using a terrestrial laser scanner, to evaluate the roadway surface’s cross slopes. Two existing rural farm road segments in San Luis Obispo County (California, USA) were selected for evaluation. A comparison between the results from the two methods showed that the difference follows a normal distribution, indicating no systematic errors during data collection. Also, the two-sided paired t-test between the traditional survey surveying and LiDAR showed no statistically significant differences between the slopes estimated using the two methods. This finding is important since LiDAR could increase the data collection efficiency and support the asset management practices of smaller county agencies. Moreover, the results indicate that the difference between LiDAR-derived cross slopes and field surveying measurements is less than 0.2% at a accuracy meets cross-slope accuracy requirements (±0.2%) used by practitioners and demonstrates that LiDAR is a reliable method for cross-slope data collection.
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