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J-GLOBAL ID：202402251762051711   Reference number：24A0271431

Using Machine Learning on V2X Communications Data for VRU Collision Prediction

VRU衝突予測のためのV2X通信データに関する機械学習の利用【JST・京大機械翻訳】

Author (3)： Ribeiro Bruno (Department of Informatics, University of Minho, 4710-057 Braga, Portugal) ,  Nicolau Maria Joao (Department of Information Systems, University of Minho, 4804-533 Guimaraes, Portugal) ,  Santos Alexandre (Department of Informatics, University of Minho, 4710-057 Braga, Portugal)
Material： Sensors (Web)
Volume： 23  Issue： 3  Page： 1260  Publication year： 2023 
JST Material Number： U7015A  ISSN： 1424-8220  CODEN： SENSC9  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Intelligent Transportation Sys...

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Thesaurus term： memory(computer) ,  safety ,  system ,  passenger car(automobile) ,  road ,  city ,  transit system ,  *telecommunication ,  effectiveness ,  *machine learning ,  collision avoidance
Semi thesaurus term： ネットワークシミュレータ ,  移動性 ,  道路利用者 ,  *通信データ , 【Automatic Indexing@JST】

Author keywords (4)： vehicular communications ,  vulnerable road users ,  collision prediction ,  machine learning

JST classification (1)： Electric equipment  (QG03070C)

Reference (22)：

• Commision, E. ITS & Vulnerable Road Users. Available online: https://transport.ec.europa.eu/transport-themes/intelligent-transport-systems/road/action-plan-and-directive/its-vulnerable-road-users_en (accessed on 7 December 2022). Vehicle-to-Everything (V2X). 2022. Available online: https://www.abiresearch.com/market-research/product/7779722-vehicle-to-everything-v2x/ (accessed on 20 September 2022).
• Ribeiro, B.; Nicolau, M.J.; Santos, A. Leveraging vehicular communications in automatic vrus accidents detection. In Proceedings of the 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), Barcelona, Spain, 5-8 July 2022; pp. 326-331.
• Mchergui, A.; Moulahi, T.; Zeadally, S. Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs). Veh. Commun. 2021, 34, 100403.
• Li, C.; Xu, P. Application on traffic flow prediction of machine learning in intelligent transportation. Neural Comput. Appl. 2021, 33, 613-624.
• Toan, T.D.; Truong, V.H. Support vector machine for short-term traffic flow prediction and improvement of its model training using nearest neighbor approach. Transp. Res. Rec. 2021, 2675, 362-373.

Terms in the title (3)： 衝突予測 ,  V2X通信 ,  機械学習