Study on Risk Evaluation Methods in Rear-end Collision Scenes using Braking Behavior and Appearance of the Preceding Vehicle Recorded by Drive Recorders
ドライブレコーダ映像中の先行車とドライバのブレーキ行動による追突ヒヤリハットシーンにおける衝突リスク感の評価方法に関する研究
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- Publication code
- 20214267
- Paper/Info type
- JSAE Transaction
Vol.52 No.3
- Pages
- 714-719(Total 6 p)
- Date of publication
- May 2021
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | 研究論文 Translation |
|---|---|
| Category(E) | ResearchPaper |
| Author(J) | 1) 堤 成可 |
| Author(E) | 1) Shigeyoshi Tsutsumi |
| Affiliation(J) | 1) 三重大学 |
| Abstract(J) | 事故の分析や安全教育のため，人の感覚に近いリスク評価がついたドライブレコーダデータは重要である．本報告では，ヒヤリハットデータベース中の追突シーンを対象とし，記録されているブレーキ行動や先行車の映り方から，各タイミングとリスクを評価し，人手でつけたレベル分けと比較してリスクの評価方法を検討した． Translation |
| Abstract(E) | For the analysis of accidents and safety education, it is important that the risk evaluation for drive recorder data approximate human perception. This report deals with rear-end collision scenes in the near-miss incident database. It has a manual classification of risk levels, analyzed by using recorded event timing, acceleration, and recorded video. In this study, the deceleration behavior of the driver was inferred from the acceleration data. Also patterns were divided and characteristic timing also examined based on it. The risk evaluation method was examined for the preceding vehicle based on the change in the appearance of the preceding vehicle on the image 0.1 seconds before and after characteristic timing. In the proposed method, evaluation is performed by combining these methods. The validity was examined based on the relationship between the proposed method evaluated and the manual classification of risk levels. In the examination, we divided the cases into short or long times at sudden deceleration. As a result, when the deceleration time was short case, the evaluation value was tended to be higher than in the long case. But it was also seen that the evaluation value was similar when deceleration time was short and manual classification of low risk levels, and when it was long and high levels. By classifying the cases first based on the deceleration time, the proposed method has made it possible to deal with manual risk judgment in most cases. |
