A Study on Method of Extracting Accident Causes using Statistical Traffic Accident Data (Second Report) Bayesian Network Analysis
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- 形態
- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20216029
- 文献・情報種別
- 学術講演会予稿集(秋)
No.87-21
- 掲載ページ
- 1-8(Total 8 p)
- 発行年月
- 2021年 10月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2021年秋季大会 【オンライン】
書誌事項
著者 | 1) Anis Farhana Zainuddin, 2) Hiroshi Kuniyuki |
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著者(英) | 1) Anis Farhana Zainuddin, 2) Hiroshi Kuniyuki |
勤務先 | 1) Suwa University of Science, 2) Suwa University of Science |
勤務先(英) | 1) Suwa University of Science, 2) Suwa University of Science |
抄録(英) | Road accidents have been caused by many factors and finding the root cause is very important. In previous report, logistic regression analysis method was used to identify high-risk accident factors. It was possible to analyze the significant factors but the method alone cannot identify the causal chain and root cause of accidents. This paper studies accident factors which analyzed using Bayesian Networks and Support Vector Machine methods. From the results, we were able to consider the advantages and disadvantages of using these methods and make comparisons with previous method used to analyze statistical accident data. 翻訳 |