An estimation of road surface conditions using participatory sensing

Yukie Ikeda, Masahiro Inoue

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

When natural disasters occur, some roads could be blocked and cannot be used. Road surface conditions also deteriorate. Thus, collecting and providing the information on usable roads and road surface conditions can allow people to be evacuated safely. In this study, we proposed an estimation system of the road surface conditions by collecting accelerometer data from pedestrians' smartphones. The method estimates whether the road surface condition is a flat pavement road, a rough road, a slope or a stair by using supervised machine learning method. From the results of experiment, we found that the system can estimate six types of road surface conditions with a high accuracy when training the model with the data from the users.

元の言語English
ホスト出版物のタイトルInternational Conference on Electronics, Information and Communication, ICEIC 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1-3
ページ数3
2018-January
ISBN(電子版)9781538647547
DOI
出版物ステータスPublished - 2018 4 2
イベント17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
継続期間: 2018 1 242018 1 27

Other

Other17th International Conference on Electronics, Information and Communication, ICEIC 2018
United States
Honolulu
期間18/1/2418/1/27

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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  • これを引用

    Ikeda, Y., & Inoue, M. (2018). An estimation of road surface conditions using participatory sensing. : International Conference on Electronics, Information and Communication, ICEIC 2018 (巻 2018-January, pp. 1-3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2018.8330721