Development of a smart salting system that incorporates the road managerʼs judgements into an automated process towards reducing salt application-Reference-Cited by-同舟云学术

Development of a smart salting system that incorporates the road managerʼs judgements into an automated process towards reducing salt application

Published:2020 Issue:6 Volume:82 Page:299-316
ISSN:0373-1006
Container-title:Journal of the Japanese Society of Snow and Ice
language:en
Short-container-title:Journal of the Japanese Society of Snow and Ice

Author:

OHIRO Tomonori¹,HAGIWARA Toru²,HANATSUKA Yasushi³,TAKAKURA Kiyoshi⁴,NAKAMURA Hiromi⁵

Affiliation:

1. Nexco-Engineering Hokkaido Co., Ltd.,

2. Graduate School of Engineering, Hokkaido University,

3. Bridgestone Corporation,

4. Nexco-Maintenance Hokkaido Co., Ltd.,

5. Hokkaido Regional Head Office, East Nippon Expressway Co., Ltd.,

Publisher

Japanese Society of Snow and Ice

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/seppyo/82/6/82_299/_pdf

Reference29 articles.

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2. Amthor, M., Hartmann, B. and Denzler, J. (2015): Road condition estimation based on spatio-temporal reflection models. GCPR (German Conference for Pattern Recognition) 2015, LNCS (Lecture Notes in Computer Science), 9358, 3-15.

3. Cui, N. and Shi, X. (2017): Improved user experience and scientific understanding of anti-icing and pre-wetting for winter maintenance in North America. Transportation research record, TRB 94th Annual meeting paper, 15-5823, 1-18.

4. Fay, L., Volkening, K., Gallaway, C. and Shi, X. (2008): Performance and impacts of current deicing and antiicing products: User perspective versus experimental data. Transportation research record, TRB 87th Annual meeting paper, 08-1382, 1-23.

5. 藤本明宏，山田慎也，田中俊輔，高橋尚人，武市靖（2015）：通過車両の影響を考慮した凍結防止剤事後散布後の路面すべり抵抗推定法の構築と検証．土木学会論文集E1（舗装工学），71（2），81-96.