Characteristic Analysis of Vehicle-VRUs Crashes Based on Real Accident Data in China
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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
- 20266193
- 文献・情報種別
- 学術講演会予稿集(秋)
No.133-26
- 掲載ページ
- 1-8(Total 8 p)
- 発行年月
- 2026年 10月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2026年秋季大会
書誌事項
| 著者 | 1) Zeyao Li, 2) Zhuo Li, 3) Di Pan, 4) Koji Mizuno, 5) Yong Han |
|---|---|
| 著者(英) | 1) Zeyao Li, 2) Zhuo Li, 3) Di Pan, 4) Koji Mizuno, 5) Yong Han |
| 勤務先 | 1) Huaqiao University, 2) Xiamen University of Technology, 3) Xiamen University of Technology, 4) Nagoya University, 5) Xiamen University of Technology |
| 勤務先(英) | 1) Huaqiao University, 2) Xiamen University of Technology, 3) Xiamen University of Technology, 4) Nagoya University, 5) Xiamen University of Technology |
| 抄録(英) | Vulnerable Road Users (VRUs) suffer high casualty rates in traffic crashes and are a major focus of road safety research. Based on 4,060 real vehicle-VRU crash videos from the VRU-TRAVi database in China, this study conducts statistical and characteristic analysis across pre-crash, in-crash, and post-crash stages. K-modes clustering is used to identify typical accident scenarios. The findings reveal spatiotemporal, kinematic, and injury patterns of pedestrians, cyclists, and powered two-wheelers, and clarify key risk factors including visual obstructions, speed, and impact locations. Results provide reliable data support for vehicle safety design, road management, and VRU crash prevention. 翻訳 |