An estimation of road surface conditions using participatory sensing

Yukie Ikeda, Masahiro Inoue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInternational Conference on Electronics, Information and Communication, ICEIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
Volume2018-January
ISBN (Electronic)9781538647547
DOIs
Publication statusPublished - 2018 Apr 2
Event17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
Duration: 2018 Jan 242018 Jan 27

Other

Other17th International Conference on Electronics, Information and Communication, ICEIC 2018
CountryUnited States
CityHonolulu
Period18/1/2418/1/27

Fingerprint

Stairs
Smartphones
Accelerometers
Pavements
Disasters
Learning systems
Experiments

Keywords

  • machine learning
  • participatory sensing
  • road surface conditions
  • Smartphone

ASJC Scopus subject areas

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

Cite this

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

An estimation of road surface conditions using participatory sensing. / Ikeda, Yukie; Inoue, Masahiro.

International Conference on Electronics, Information and Communication, ICEIC 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ikeda, Y & Inoue, M 2018, An estimation of road surface conditions using participatory sensing. in International Conference on Electronics, Information and Communication, ICEIC 2018. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 17th International Conference on Electronics, Information and Communication, ICEIC 2018, Honolulu, United States, 18/1/24. https://doi.org/10.23919/ELINFOCOM.2018.8330721
Ikeda Y, Inoue M. An estimation of road surface conditions using participatory sensing. In International Conference on Electronics, Information and Communication, ICEIC 2018. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-3 https://doi.org/10.23919/ELINFOCOM.2018.8330721
Ikeda, Yukie ; Inoue, Masahiro. / An estimation of road surface conditions using participatory sensing. International Conference on Electronics, Information and Communication, ICEIC 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-3
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