Case Reports · Case Report C2
Validated Throw Distance Method by Surveillance Video
Original Abstract
Abstract
Vehicle-pedestrian collision is one of the most frequent and most severe types of road accidents. The impact velocity is the most important factor in vehicle-pedestrian accident reconstruction, and it can be calculated by many theoretical or empirical methods including throw distance. The throw distance method needs to be validated by other methods for more credible. In this paper, a traffic accident was caught by surveillance video, and was employed to validate the throw distance method provided by The Speed Technical Evaluation for Vehicles Involved in Representative Road Accidents (GA/T 643-2006, China, 2006). The results showed that the impact velocity was calculated by throw distance (36.39 km/h) which is 22.01% lower than the video monitoring (46.66 km/h), which indicated that the vehicle speed calculated by throw distance was much lower than the real-world speed. Further studies are needed to modify the throw distance method by more evidences.
Keywords: Accident reconstruction; Vehicle–pedestrian accident; Vehicle speed; Throw distance; Surveillance video
Authors & Publication
Article Details
- State Key Laboratory of Vehicle NVH and Safety Technology, Research Institute for Traffic Medicine, Daping Hospital, Third Military Medical University, Chongqing 400042, China.
- Chongqing Public Security Bureau, Chongqing 400017, China.
Corresponding author: Zhiyong Yin · zyyin@cta.cq.cn
Author contacts printed in source:
- Fuping Wang: wangfp2010@hotmail.com
- Chengjian Feng: fcj911119@163.com
- Daiqin Tao: taodaiqin@qq.com
- Zhiyong Yin: zyyin@cta.cq.cn
Citation Information
| Document code | C2 · Case Report |
|---|---|
| Journal | Forensic Science Seminar |
| ISSN | 2157-118X |
| Volume / Issue | 2 / 1 |
| Pages | 46–50 |
| Official issue date | 1 January 2012 |
| Article HTML | https://fss.xxyy.info/journal/2012/2157118X.2.C2.html |
| Full text PDF | https://fss.xxyy.info/journal/2012/2157118X.2.C2.pdf |
Metadata Quality