Art

J-GLOBAL ID：202002241386248123   Reference number：20A1636768

Early Detection of a Traffic Flow Breakdown in the Freeway Based on Dynamical Network Markers

動的ネットワークマーカーに基づく高速道路における交通流破壊の早期検出【JST・京大機械翻訳】

Author (5)： Kamal Md Abdus Samad (Division of Mechanical Science and Technology, Graduate School of Science and Technology, Gunma University, Kiryu, Japan) ,  Oku Makito (Institute of Natural Medicine, University of Toyama, Toyama, Japan) ,  Hayakawa Tomohisa (Department of Systems and Control, Tokyo Institute of Technology, Tokyo, Japan) ,  Imura Jun-ichi (Department of Systems and Control, Tokyo Institute of Technology, Tokyo, Japan) ,  Aihara Kazuyuki (Institute of Industrial Science, and Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan)
Material： International Journal of Intelligent Transportation Systems Research
Volume： 18  Issue： 3  Page： 422-435  Publication year： 2020 
JST Material Number： W4475A  ISSN： 1348-8503  Document type： Article
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Abstract: This paper presents ...

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Thesaurus term： simulation ,  standard deviation ,  *expressway ,  *traffic flow ,  correlation coefficient ,  criticality ,  scalar ,  absolute value
Semi thesaurus term： *動的ネットワーク , 【Automatic Indexing@JST】

Author keywords (4)： Traffic flow breakdown ,  Dynamical network marker ,  Connected vehicle environment ,  Simulation of traffic flows

JST classification (1)： Traffic surveies  (TB01031B)

Terms in the title (6)： 動的ネットワーク ,  マーカー ,  高速道路 ,  交通流 ,  破壊 ,  早期