Abstract
Higher accuracy of various road states, such as dry, wet, slush, snowy, icy in addition to friction rate on the road have to be determined in realtime using various environmental sensors to realize safe driving and autonomous electric vehicle system (EV) in snow country. This road 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 road states measurement results by the previous and the new road sensor systems are analyzed and compared through experimental prototype system and the performance and accuracy of those systems are discussed.
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Acknowledgments
The research was supported by Japan Keiba Association Grant Numbers 2021M-198, JSPS KAKENHI Grant Numbers JP 20K11773, Strategic Information and Strategic Research Project Grant by Iwate Prefectural University in 2021.
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Shibata, Y., Sakuraba, A. (2022). Comparative Road State Decision Making Results by Various Environmental Sensors on Public Winter Road. In: Barolli, L., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-14627-5_4
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DOI: https://doi.org/10.1007/978-3-031-14627-5_4
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