A Study on Injury Prediction Method for Occupants Using Vehicle Body Deformation

Accurate occupant injury prediction is important for Advance Automatic Collision Notification in accidents. In previous report, it was found that vehicle body deformation information was needed to improve injury prediction. This paper studied vehicle body deformation factor for occupant injury prediction in side impact crashes using an accident database in the U.S.(NASS-CDS) and constructed injury prediction model using those factors. As a result, roof deformation factor is found to be important for improving injury prediction model. The analytical method using photos of deformed vehicles was considered to measure the roof deformation in NASS-CDS accident cases. Roof deformations with 30 cm and above have a higher odds ratio of 2.944 compared to those below 30 cm. Therefore, this factor is considered to be included in injury prediction model with sensitivity improved to approximately 88% from the conventional model.

• Record URL:
  https://doi.org/10.11351/jsaeronbun.52.1125
• Record URL:
  https://www.jstage.jst.go.jp/article/jsaeronbun/52/5/52_20214737/_pdf
• 
• Record URL:
  https://scholar.google.com/scholar_lookup?title=A%20Study%20on%20Injury%20Prediction%20Method%20for%20Occupants%20Using%20Vehicle%20Body%20Deformation&author=H.%20Kuniyuki&author=T.%20Shima&author=T.%20Yoshida&author=T.%20Kitano&publication_year=2021
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
• Authors:
  • Kuniyuki, Hiroshi
  • Shima, Tomohiro
  • Yoshida, Takato
  • Kitano, Taichi
• Publication Date: 2021-9

Language

• English
• Japanese

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 1125-1130
• Serial:
  • Transactions of Society of Automotive Engineers of Japan
  • Volume: 52
  • Issue Number: 5
  • Publisher: Society of Automotive Engineers of Japan
  • ISSN: 0287-8321
  • EISSN: 1883-0811
  • Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Crash analysis; Crash injuries; Deformation; Predictive models; Traffic crashes; Vehicle roofs
• Identifier Terms: National Automotive Sampling System - Crashworthiness Data System (NASS-CDS)
• Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01787958
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Nov 12 2021 5:23PM