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Smart Sensors at the IoT Frontier pp 271–297Cite as

Mobile Crowdsensing to Collect Road Conditions and Events

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Abstract

This paper describes a proposed mobile sensing framework for collecting sensor data reflecting personal-scale, or microscopic, roadside phenomena through crowdsourcing and the use of big data, such as traffic and climate data, as well as the contents of social networking services such as Twitter. To collect these data, a smartphone application is provided. One feature is a driving recorder that collects not only sensor data but also videos recorded from the driver’s point of view. To extract specific roadside phenomena, the collected data are integrated and analyzed using the service platform. The proposed smartphone application offers the following advantages over appliances: (1) ordinary appliances are stand-alone, which means that storage is limited, whereas the application is connected to the cloud; (2) appliances are not cheap, whereas the application is free; and (3) appliances only store driving records, whereas the application can obtain feedback from the service platform. The authors expect that these advantages will provide citizens with the necessary incentive to use the application. We conducted an experimental survey using our prototype application to examine how effective such functionality is in motivating users. The results showed that most users found the application useful.

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Notes

  1. 1.

    https://www.fixmystreet.com/

  2. 2.

    https://www.waze.com/

  3. 3.

    http://www.sjnk.jp/app_pc/safetysight/

  4. 4.

    https://itunes.apple.com/app/drive-around-the-corner./id1053216595

  5. 5.

    http://around-the-corner.org/

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Acknowledgements

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

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

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Authors and Affiliations

  1. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan

    Kenro Aihara, Bin Piao & Atsuhiro Takasu

  2. Hokkaido University, N-13, W-8, Sapporo, Hokkaido, 060-8628, Japan

    Hajime Imura & Yuzuru Tanaka

Authors
  1. Kenro Aihara
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  2. Hajime Imura
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  3. Bin Piao
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  4. Atsuhiro Takasu
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  5. Yuzuru Tanaka
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Corresponding author

Correspondence to Kenro Aihara .

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Editors and Affiliations

  1. Kyushu University, Fukuoka, Japan

    Hiroto Yasuura

  2. Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (Republic of)

    Chong-Min Kyung

  3. Circuits and Systems Division, Tsinghua University, Beijing, Beijing, China

    Yongpan Liu

  4. National Tsing Hua University, Hsinchu, Taiwan, Taiwan

    Youn-Long Lin

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Aihara, K., Imura, H., Piao, B., Takasu, A., Tanaka, Y. (2017). Mobile Crowdsensing to Collect Road Conditions and Events. In: Yasuura, H., Kyung, CM., Liu, Y., Lin, YL. (eds) Smart Sensors at the IoT Frontier . Springer, Cham. https://doi.org/10.1007/978-3-319-55345-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-55345-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55344-3

  • Online ISBN: 978-3-319-55345-0

  • eBook Packages: EngineeringEngineering (R0)

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