Art

J-GLOBAL ID：201902211808036659   Reference number：19A2280610

A Road Network Traffic State Identification Method Based on Macroscopic Fundamental Diagram and Spectral Clustering and Support Vector Machine

巨視的基本図とスペクトルクラスタリングとサポートベクトルマシンに基づく道路網トラフィック状態同定法【JST・京大機械翻訳】

Author (1)： Lin Xiaohui (Institute of Rail Traffic, Guangdong Communication Polytechnic, Guangzhou, China)
Material： Mathematical Problems in Engineering (Web)
Volume： 2019  Page： Null  Publication year： 2019 
JST Material Number： U7803A  ISSN： 1024-123X  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Accurate identification of roa...

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Thesaurus term： Data Mining ,  *road network ,  unsupervised learning ,  *road ,  *support vector machine ,  supervised learning ,  *spectrum ,  algorithm ,  traffic control ,  city ,  *clustering ,  clustering algorithm ,  *modification
Semi thesaurus term： マルチ分類 ,  細分化 ,  *スペクトラルクラスタリング , 【Automatic Indexing@JST】

JST classification (1)： Traffic surveies  (TB01031B)

Reference (25)：

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• M. Montazeri-Gh, A. Fotouhi, "Traffic condition recognition using the k-means clustering method," Scientia Iranica, vol. 18, no. 4, pp. 930-937, 2011.
• J. Xia, W. Huang, J. Guo, "A clustering approach to online freeway traffic state identification using ITS data," KSCE Journal of Civil Engineering, vol. 16, no. 3, pp. 426-432, 2012.
• C. Antoniou, H. N. Koutsopoulos, G. Yannis, "Dynamic data-driven local traffic state estimation and prediction," Transportation Research Part C: Emerging Technologies, vol. 34, pp. 89-107, 2013.
• Q. F. Yang, M. H. Ma, S. D. Liang et al., "Freeway traffic state identification based on toll data," Journal of South China University of Technology (Natural Science Edition), vol. 42, no. 12, pp. 51-57, 2014.

Terms in the title (6)： 基本図 ,  スペクトルクラスタリング ,  サポートベクトルマシン ,  道路網 ,  トラフィック ,  同定法