DETECTION AND ANALYSIS OF DETOURS OF COMMERCIAL VEHICLES DURING HEAVY RAINS IN WESTERN JAPAN USING MACHINE LEARNING TECHNOLOGY
Author:
Affiliation:
1. Graduate School of Information Sciences, Tohoku University
2. New Industry Creation Hatchery Center
Publisher
Japan Society of Civil Engineers
Subject
Civil and Structural Engineering,Environmental Engineering
Link
https://www.jstage.jst.go.jp/article/journalofjsce/9/1/9_8/_pdf
Reference25 articles.
1. 1) Fujitsu Traffic & Road Data Service Limited home page, http://www.fujitsu.com/jp/group/ftrd/
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3. 3) Ide, T. and Sugiyama, M. : Anomaly Detection and Change Detection (Machine Learning Professional Series), Kodansha, 2015 (in Japanese).
4. 4) Kusakabe, T. Sharyo, T. and Asakura, Y. : Behavioural reaction to incident information on urban expressway, Journal of Japan Society of Civil Engineers, D3 (Civil Engineering Planning), Vol. 68, No. 5, pp. I_731–I_740, 2012 (in Japanese).
5. 5) Wardman, M., Bonsall, P. W. and Shires, J. D. : Driver response to variable message signs: A stated preference investigation, Transportation Research Part C, Vol. 5, pp. 389–405, 1997.
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