EVALUATION OF PAVEMENT SURFACE IRREGULARITY USING VERTICAL ACCELERATIONS RECORDED BY A SMARTPHONE

• KAWAI Daichi

  千葉大学大学院工学研究科 建築・都市科学専攻

• MARUYAMA Yoshihisa

  千葉大学大学院工学研究院

• NAGATA Shigeru

  鹿島建設株式会社技術研究所 都市防災・風環境グループ

Bibliographic Information

Other Title

• スマートフォンで計測した自動車の上下加速度を用いた舗装路面凹凸の評価
• スマートフォン デ ケイソク シタ ジドウシャ ノ ジョウゲ カソクド オ モチイタ ホソウ ロメン オウトツ ノ ヒョウカ

Abstract

 This study developed numerical models to evaluate road surface irregularity using vertical accelerations of a vehicle recorded by a smartphone. The purpose of this study is to detect road sections with an international roughness index (IRI) of 12 mm/m or above. To achieve the objective, the authors considered two kinds of machine learning methods: logistic regression analysis and support vector machine. The discrimination ability of road surface irregularity was evaluated, and the logistic regression model showed a better result.

Journal

• Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering)

  Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering) 73 (3), I_79-I_87, 2017

  Japan Society of Civil Engineers

Keywords

• vertical acceleration
• smartphone
• International Roughness Index (IRI)
• logistic regression analysis
• support vector machine

Details

• CRID: 1390001205355941248
• NII Article ID: 130006317035
• DOI: 10.2208/jscejpe.73.i_79
• ISSN: 21856559
• NDL BIB ID: 028785087
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I028785087
• Web Site: https://www.jstage.jst.go.jp/article/jscejpe/73/3/73_I_79/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed