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A Smart City Application for Sharing Up-to-date Road Surface Conditions Detected from Crowdsourced Data

  • Kenro AiharaEmail author
  • Piao Bin
  • Hajime Imura
  • Atsuhiro Takasu
  • Yuzuru Tanaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10291)

Abstract

This paper introduces a smart city application to share road conditions. The application is based on a mobile sensing framework to collect sensor data reflecting personal-scale, or microscopic, roadside phenomena using crowdsourcing. To collect data, a driving recorder smartphone application that records not only sensor data but also videos from the driver’s view is used. To extract specific roadside phenomena, collected data are integrated and analyzed at the service platform. One example is estimating road surface conditions. The paper shows our method to estimate road surface type (RST) and road surface shape (RSS). Features are defined in Sequential Forward Floating Search (SFFS) algorithm from collected data. By using random forest as classifier, average recall was about 91% in the \(50\,\mathrm {km/h}\)\(80\,\mathrm {km/h}\) range. The result may support to build a service that provides detected road conditions from up-to-date crowdsourced mobile sensing application.

Keywords

Smart city Road condition detection Mobile sensing Crowdsourcing Cyber-physical systems 

Notes

Acknowledgments

The authors would like to thank City of Sapporo, Hokkaido Government, Hokkaido Chuo Bus Co., Ltd. for their cooperation with this research.

This research was supported by “Research and Development on Fundamental and Utilization Technologies for Social Big Data” of the Commissioned Research of National Institute of Information and Communications Technology (NICT), Japan. And also it was partly supported by the CPS-IIP Project in the research promotion program “Research and Development for the Realization of Next-Generation IT Platforms” of the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Kenro Aihara
    • 1
    • 2
    Email author
  • Piao Bin
    • 1
  • Hajime Imura
    • 3
  • Atsuhiro Takasu
    • 1
    • 2
  • Yuzuru Tanaka
    • 3
  1. 1.National Institute of InformaticsChiyoda-kuJapan
  2. 2.The Graduate University for Advanced StudiesHayamaJapan
  3. 3.Hokkaido UniversitySapporoJapan

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