Skip to main content

Social Experiment of Realtime Road State Sensing and Analysis for Autonomous EV Driving in Snow Country

  • Conference paper
  • First Online:
Advances in Internet, Data & Web Technologies (EIDWT 2022)

Abstract

In order to realize autonomous electric vehicle system in snow country, various road state information including dry, wet, slush, snowy, icy states on the road are determined in realtime using various environmental sensors. These state information is not only exchanged directly between EVs through V2X, but also collected into cloud servers on Internet and organized as wide area road state information platform for ordinal users to present as a viewer system of the road state using smartphone and tablet terminals. In this paper, the basic consideration of architecture of autonomous electric vehicle with road sensing road state in snow country and predicted viewer system for safety driving through V2X communication system and social experiment by prototype system are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. SAE International: Taxonomy and Definitions for Terms Related to Driving Automation Systems, for On-Road Motor Vehicles, J3016_201806, June 2018

    Google Scholar 

  2. Police department in Hokkaido: The Actual State of Winter Typed Traffic Accidents, November 2018. https://www.police.pref.hokkaido.lg.jp/info/koutuu/fuyumichi/blizzard.pdf

  3. Takahashi, N., Tokunaga, R.A., Sato, T., Ishikawa, N.: Road surface temperature model accounting for the effects of surrounding environment. J. Jpn. Soc. Snow Ice 72(6), 377–390 (2010)

    Google Scholar 

  4. Fujimoto, A., Nakajima, T., Sato, K., Tokunaga, R., Takahashi, N., Ishida, T.: Route-based forecasting of road surface temperature by using meshed air temperature data. In: JSSI&JSSE Joint Conference, pp. 1–34, September 2018

    Google Scholar 

  5. Saida, A., Sato, K., Nakajima, T., Tokunaga, R., Sato, G.: A study of route based forecast of road surface condition by melting and feezing mass estamation method using weather mesh data. In: JSSI&JSSE Joint Conference, pp. 2–57, September 2018

    Google Scholar 

  6. Hoshi, T., Saida, A., Nakajima, T., Tokunaga, R., Sato, M., Sato, K.: Basic Consideration of Wide-Scale Road Surface Snowy and Icy Conditions using Weather Mesh Data. Monthly report of Civil Engineering Research Institute for Cold Region, No. 800, pp. 28–34, January 2020

    Google Scholar 

  7. Fujita, S., Tomiyama, K., Abliz, N., Kawamura, A.: Development of a roughness data collection system for urban roads by use of a mobile profilometer and GIS. J. Jpn. Soc. Civ. Eng. 69(2), I_90–I_97 (2013)

    Google Scholar 

  8. Yagi, K.: A measuring method of road surface longitudinal profile from sprung acceleration and verification with road profiler. J. Jpn. Soc. Civ. Eng. 69(3), I_1–I_7 (2013)

    Google Scholar 

  9. Mizuno, H., Nakatsuji, T., Shirakawa, T., Kawamura, A.: A statistical model for estimating road surface conditions in winter. In: The Society of Civil Engineers, Proceedings of Infrastructure Planning (CD-ROM), December 2006

    Google Scholar 

  10. Saida, A., Fujimoto, A., Fukuhara, T.: Forecasting model of road surface temperature along a road network by heat balance method. J. Civ. Eng. Jpn. 69(1), 1–11 (2013)

    Google Scholar 

  11. Okubo, K., Takahashi, J., Takechi, H., Sakurai, T., Kokubu, T.: Possibility of Blizzard Detection by On-board Camera and AI technology. Monthly report of Civil Engineering Research Institute for Cold Region, No. 798, pp. 32–37, November 2019

    Google Scholar 

  12. Takiguchi, K., et al.: Trial of quasi-electrical field technology to automobile tire sensing. In: Annual conference on Automobile Technology Association, pp. 417–20145406, May 2014

    Google Scholar 

  13. Casselgren, J., Rosendahl, S., Eliasson, J.: Road surface information system. In: Proceedings of the 16th SIRWEC Conference, Helsinki, 23–25 May 2012. http://sirwec.org/wp-content/uploads/Papers/2012-Helsinki/66.pdf

Download references

Acknowledgement

The research was supported by The research was supported by Japan Keiba Association Grant Numbers 2021M-198, JSPS KAKENHI Grant Numbers JP 20K11773, Strategic Information and Communications R&D Promotion Program Grant Number 181502003 by Ministry of Affairs and Communication and Communication and Strategic Research Project Grant by Iwate Prefectural University in 2021.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yositaka Shibata .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shibata, Y., Sakuraba, A., Arai, Y., Saito, Y., Uchida, N. (2022). Social Experiment of Realtime Road State Sensing and Analysis for Autonomous EV Driving in Snow Country. In: Barolli, L., Kulla, E., Ikeda, M. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 118. Springer, Cham. https://doi.org/10.1007/978-3-030-95903-6_31

Download citation

Publish with us

Policies and ethics