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Development of Multiple Crash Events to Understand Occupant Behavior and Injury Based on Real-World Accidents
Technical Paper
SC18-22-0003
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Language:
English
Abstract
Abstract - Approximately a quarter of automobile accidents in the United States involve multiple impacts, but no standard test methodologies exist for the evaluation of these types of events. In this study, four categories were used for the selection of multiple crash scenarios, resulting in ten representatives of multiple scenarios. NASS-CDS was analyzed to determine the types and percentages of multiple crash accidents. Simulation was conducted with variable such as initial velocity of each vehicle, and items such as overlap and angle between vehicles. And it was used determine the final test conditions. The review of the test results, indicated different vehicle dynamics, vehicle damage and occupant kinematics compared with NCAP test modes. This data can be helpful to understand how the severe accidents are happening and how the occupants move and are injured inside the vehicle in which accidents are occurring in the field.
Authors
- Seok Ho Hong - Hyundai-Motor Company
- Sung Soo Kim - Hyundai-Motor Company
- Hyung Wook Park - Hyundai-Motor Company
- Sung Hun Chang - Hyundai-Motor Company
- Jang Mook Lim - Hyundai-Motor Company
- Brian William Storey - MGA Research Corporation
- Jordan Robert Haynes - MGA Research Corporation
- Robert Michael Schnorenberg - MGA Research Corporation
Topic
Citation
Hong, S., Kim, S., Park, H., Chang, S. et al., "Development of Multiple Crash Events to Understand Occupant Behavior and Injury Based on Real-World Accidents," SAE Technical Paper SC18-22-0003, 2018, https://doi.org/10.4271/SC18-22-0003.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 |
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References
- Digges , K. , & Bahouth , G. 2003 Frequency of injuries in multiple impact crashes Annual Proceedings/Association for the Advancement of Automotive Medicine 47 417
- NHTSA 2013 National automotive sampling system crashworthiness data system - analytical user's manual Washington, DC U.S. Department of Transportation