米国事故データを用いた車両カテゴリーを選定した重症度予測
Injury Severity Prediction based on Select Vehicle Category of Real-World Accidents Data
- 提供方法
- 他サイトにて提供・販売
- 入手方法の確認はこちら
- 文献番号
- 20224603
- 文献・情報種別
- 自動車技術会論文集
Vol.53 No.6
- 掲載ページ
- 1233-1238(Total 6 p)
- 発行年月
- 2022年 11月
- 出版社
- (公社)自動車技術会
- 言語
- 日本語
書誌事項
| カテゴリ | 研究論文 |
|---|---|
| カテゴリ（英） | ResearchPaper 翻訳 |
| 著者 | 1) 江島 晋, 2) 後藤 司, 3) Peng Zhang, 4) Kristen Cunningham, 5) Stewart Wang |
| 著者（英） | 1) Susumu Ejima, 2) Tsukasa Goto, 3) Peng Zhang, 4) Kristen Cunningham, 5) Stewart Wang |
| 勤務先 | 1) SUBARU, 2) SUBARU, 3) University of Michigan, 4) University of Michigan, 5) University of Michigan |
| 抄録 | NASS-CDSから衝突時の乗員傷害を予測するアルゴリズムを開発した。対象車両はSUBARU車が属する車両カテゴリーを選び，重傷(ISS 15+)を負う確率を予測した．モデルの感度と特異度は45.1％と96.6％であり，有意な因子は速度変化，ベルト有無，年齢であった．また，助手席乗員の影響が大きく，側突の場合に顕著にみられることがわかった |
| 抄録（英） | An injury severity prediction algorithm for AACN was developed using a logistic regression model to predict the probability of sustaining an Injury Severity Score (ISS) 15+ injury. National Automotive Sampling System Crashworthiness Data System (NASS-CDS: 1999-2015) and model year 2000 or later were filtered for new case selection criteria, based on vehicle body type, to match SUBARU vehicle category. Moreover, presence of the right-front passenger and its interaction with crash direction were considered, which affected risk prediction significantly especially in the side-impact crashes. Variable selection techniques were used to construct the final ISP algorithm with relevant features. In this paper, we presented results of injury prediction algorithms, which do consider the effect of a right-front passenger were proposed. The area under the receiver operator characteristic curve (AUCs) was used as the metric to evaluate model performances, AUC was 0.862 with the model for cross-validation. Delta-V, seat belt use, and crash direction were important predictors of serious injury, and moreover, the presence of right-front passenger was a significant injury risk modifier, especially for side impact crashes. 翻訳 |
