Abstract
In order to realize automotive electric car 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 general architecture of road state information platform, EV autonomous control system, predicted viewer system, the predicted crowd sensing and viewing system and prototype system are precisely discussed.
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Acknowledgement
The research was supported by Strategic Information and Communications R&D Promotion Program Grant Number 181502003 by Ministry of Affairs and Communication, and Strategic Research Project Grant by Iwate Prefectural University in 2019.
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Shibata, Y., Sakuraba, A., Arai, Y., Sato, G., Uchida, N. (2021). Predicted Viewer System of Road State Based on Crowd IoT Sensing Toward Autonomous EV Driving. In: Barolli, L., Li, K., Enokido, T., Takizawa, M. (eds) Advances in Networked-Based Information Systems. NBiS 2020. Advances in Intelligent Systems and Computing, vol 1264. Springer, Cham. https://doi.org/10.1007/978-3-030-57811-4_42
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DOI: https://doi.org/10.1007/978-3-030-57811-4_42
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