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Automatic Groove Measurement and Evaluation with High Resolution Laser Profiling Data.

Lin Li1, Wenting Luo2, Kelvin C P Wang3

  • 1College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China. lilin@fafu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces an automated method to identify worn airport runway grooves and joints using laser data. The new strategy enhances runway safety evaluations and maintenance planning.

Keywords:
K-means clusteringNaïve Bayes ClassifierSupport Vector Machineairport runwaygroove dimensionpoint laserprofiling data

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Area of Science:

  • Civil Engineering
  • Pavement Engineering
  • Transportation Safety

Background:

  • Airport runway grooving is crucial for wet-weather skid resistance.
  • Groove deterioration from traffic and weather poses safety risks.
  • Current methods struggle to accurately identify worn grooves and slab joints.

Purpose of the Study:

  • To develop an automated strategy for identifying airport runway grooves and slab joints.
  • To improve the accuracy and efficiency of runway safety evaluations.
  • To aid in the maintenance and rehabilitation of airport runways.

Main Methods:

  • Utilizing high-resolution laser profiling data.
  • Applying K-means clustering and moving window algorithms to locate potential dips.
  • Employing improved moving average filters, heuristic methods, and polynomial support vector machines for precise identification and classification.

Main Results:

  • The proposed strategy accurately identifies runway grooves and slab joints.
  • Achieved a high F-measure score of 0.98 in performance comparison.
  • Demonstrated superior capability over existing methods in groove and joint identification.

Conclusions:

  • The developed method offers a powerful solution for automated runway groove and joint identification.
  • This technology is beneficial for enhancing airport runway safety evaluations.
  • Facilitates timely maintenance and rehabilitation, ensuring adequate skid resistance.