Proposal of the efficient method on pavement structural evaluation using moving wheel deflectometer and machine learning

DOI
  • YOKOZAWA Naoto
    （国研）土木研究所道路技術研究グループ舗装チーム
  • AYABE Takayuki
    （国研）土木研究所道路技術研究グループ舗装チーム
  • YABU Masayuki
    （国研）土木研究所道路技術研究グループ
  • WATANABE Kazuhiro
    （国研）土木研究所道路技術研究グループ舗装チーム

Bibliographic Information

Other Title
  • 移動式たわみ測定装置と機械学習を用いた効率的な舗装の構造評価手法の提案

Description

<p>It has been important to evaluate pavement structure, and MWD has been developed. MWD can acquire deflection data with short period, but data processing method has not been developed so much. However, it is expected to process MWD data and evaluate road network soundness by machine learning. This research uses Isolation Forest and proposes the evaluation method to detect the section with larger deflection that pavement structure might be damaged. The experiment shows the proposed method can evaluate pavement soundness as the previous methods do, and it is more efficient. The combination of MWD and the proposed method leads more efficient pavement structure evaluation. </p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390020784675975808
  • DOI
    10.11532/jsceiii.5.3_33
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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