Parametric Model for Simulating Occupant Responses During Pre-Crash Vehicle Maneuvers

Hu, Jingwen; Lin, Yang-Shen; Boyle, Kyle J.; Reed, Matthew P.

i

Parametric Model for Simulating Occupant Responses During Pre-Crash Vehicle Maneuvers

2025-09-01
By Hu, Jingwen ; Lin, Yang-Shen ; Boyle, Kyle J.

File Language:

English

[PDF - 10.86 MB]

Details

Creators:

Hu, Jingwen ; Lin, Yang-Shen ; Boyle, Kyle J. ; Reed, Matthew P.
Corporate Creators:

University of Michigan Transportation Research Institute
Corporate Contributors:

United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Advanced Vehicle Safety Research
Subject/TRT Terms:
Publication/ Report Number:

DOT HS 813 632
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final, Sept. 2018-Feb. 2020
Corporate Publisher:

United States. Department of Transportation. National Highway Traffic Safety Administration
Abstract:

This study developed and demonstrated an efficient tool to accurately predict occupant pre-crash kinematics in response to different types of vehicle pre-crash maneuvers. A literature review revealed crash avoidance maneuvers come in three categories: braking, steering, and a combination of braking and steering, with braking being the most common maneuver. Since no efficient and parametric active finite element (FE) human model for pre-crash maneuvers was currently available, one was developed by simplifying the midsize male global human body model consortium (GHBMC) simplified model, the GHBMC-M50-OS v1.8.4 (GHBMCsi) and adding proportional-integral-derivative controllers to the joints to simulate active muscle effects. Twelve models were also generated to cover the range of kinematics in pre-crash maneuvers.
Format:

PDF
Funding:

DTNH2215D00017693JJ918F000124
Download URL:

https://rosap.ntl.bts.gov/view/dot/86312/dot_86312_DS1.pdf
File Type:

[PDF - 10.86 MB]
Collection(s):

NHTSA - Vehicle Safety Research
Main Document Checksum:

urn:sha-512:9cbae7de3c8191d34f071607d285b01d6ac53f34cbf248ba4e98e918a30c068dee389b33b9f35d8e652f4557d5cbe997bf399ed89af0b63118c5f32475d49924

File Language:

English

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.