SIMPLE AND ACCURATE ESTIMATION OF ROAD PROFILE BY A KALMAN FILTER USING DYNAMIC RESPONSE OF A BICYCLE

• YAMAGUCHI Takahiro

  東京大学大学院 工学系研究科社会基盤学専攻

• NAGAYAMA Tomonori

  東京大学大学院 工学系研究科社会基盤学専攻

• SU Di

  東京大学大学院 工学系研究科社会基盤学専攻

Bibliographic Information

Other Title

• カルマンフィルタを用いた自転車走行時の振動応答による簡易かつ高精度な舗装の路面プロファイル推定

Abstract

 The importance of bicycle transportation is rapidly increasing. However, to evaluate long-distance bicycle lanes, existing pavement surface monitoring techniques are not applicable, quantitative, or efficient. In this paper, a simple and accurate road profile estimation system was developed using a bicycle and a smartphone. A Kalman filter algorithm integrates multiple sensor data to estimate the profile. The accuracy of the proposed algorithm was experimentally evaluated on test courses. As a result, the coefficient of the determination of the estimated profile with the measured profile by a road profiler was above 0.81 and IRI error was below 14%. The estimated profile was highly accurate in the wide spatial frequency range; the proposed algorithm can thus accurately evaluate pavement condition of a variety of scale.

Journal

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

  Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering) 75 (1), 17-26, 2019

  Japan Society of Civil Engineers

Keywords

• road profile
• city cycle
• pavement condition assessment
• Kalman filter
• smartphone

Details

• CRID: 1390845713059118336
• NII Article ID: 130007617806
• DOI: 10.2208/jscejpe.75.17
• ISSN: 21856559
• Web Site: https://www.jstage.jst.go.jp/article/jscejpe/75/1/75_17/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed