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Analysis for Real-Time Contactless Road Roughness Estimation System with Onboard Dynamics Sensor

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Advances in Internet, Data and Web Technologies (EIDWT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 65))

Abstract

In the cold districts, there is a large portion of traffic collision which is caused by skidding on icy road in entire traffic collisions. Some method in the latest research can detect exact road surface weather condition with vehicle onboard sensor. In effort to realize high-level autonomous driving vehicle, understanding of road surface condition or road state is an essential knowledge. This paper introduces an estimation method for road surface state contactless sensors. This method utilizes 9-axis dynamics sensors to obtain vehicle behavior on the road. In particular, obtaining roughness of the road weather state could be a key feature to estimate road characteristics. The designing proposed system considers real-time measurement for roughness of the road. This allows to calculate roughness to estimate characteristics of road surface condition while vehicle is moving, and exchanges road state information with other moving vehicle with vehicle-to-everything (V2X) communication. This paper also reports the result of evaluation for our method on actual road to analyze with the prototype onboard system. The result shows that proposed approach can evaluate road surface roughness in real-time while vehicle is moving, whereas it is suggested that relationship among other onboard sensors and roughness value is independent from across road surface weather state.

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References

  1. Takada, T., Tokunaga, R., Takahashi, N.: Categories of traffic accidents in winter season on national routes in Hokkaido. Hokkaido No Seppyo, no. 29, pp. 69–72 (2010). (in Japanese)

    Google Scholar 

  2. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles J3016_201806. SAE International (2018)

    Google Scholar 

  3. Yoneda, K., Sugamura, N., Yanase, R., Aldibaja, M.: Automated driving recognition technologies for adverse weather conditions. Int. Assoc. Traffic Saf. Sci. Res. 43, 253–262 (2019)

    Google Scholar 

  4. Du, Y., Liu, C., Wu, D., Li, S.: Application of vehicle mounted accelerometers to measure pavement roughness. Int’l. J. Distrib. Sens. Netw. 2016, 1–8 (2016)

    Google Scholar 

  5. Yagi, K.: A measuring method of road surface longitudinal profile from sprung acceleration, and verification with road profiler. J. JSCE 69(3), I_1–I_7 (2013). (in Japanese)

    Google Scholar 

  6. Nishimura, H., et al.: Real time detection of rode conditions using in-vehicle force sensor. In: The 79th National Convention of IPSJ, 6U-04 (2020). (in Japanese)

    Google Scholar 

  7. Sakuraba, A., Shibata, Y., Sato, G., Uchida, N.: Evaluation of end-to-end performance on N-wavelength V2X cognitive wireless system designed for exchanging road state information. In: Advances in Internet, Data and Web Technologies, pp. 595–604 (2020)

    Google Scholar 

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Acknowledgments

This work was supported by JSPS KAKENHI JP20K19826 and Strategic Information, Communications R&D Promotion Program (SCOPE) No. 181502003, Ministry of Internal Affairs and Communications, Japan, and Strategic Research Project Grant, Iwate Prefectural University, Japan.

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Authors and Affiliations

  1. Regional Cooperative Research Division, Iwate Prefectural University, Takizawa, Iwate, Japan

    Akira Sakuraba & Yoshitaka Shibata

  2. Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan

    Yoshia Saito, Jun Hakura & Yoshikazu Arai

Authors
  1. Akira Sakuraba
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  2. Yoshia Saito
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  3. Jun Hakura
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  4. Yoshikazu Arai
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  5. Yoshitaka Shibata
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Corresponding author

Correspondence to Akira Sakuraba .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Sakuraba, A., Saito, Y., Hakura, J., Arai, Y., Shibata, Y. (2021). Analysis for Real-Time Contactless Road Roughness Estimation System with Onboard Dynamics Sensor. In: Barolli, L., Natwichai, J., Enokido, T. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 65. Springer, Cham. https://doi.org/10.1007/978-3-030-70639-5_27

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