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Active human body models for virtual occupant response, step 4

Reference number
Coordinator Volvo Personvagnar AB - Avd 91400, Bilsäkerhetscentrum
Funding from Vinnova SEK 5 894 251
Project duration April 2018 - December 2021
Status Completed
Venture Traffic safety and automated vehicles -FFI
End-of-project report 2017-05516eng.pdf (pdf, 1681 kB)

Important results from the project

In a future with automated vehicles, the importance of including the effects of the car´s maneuver before a collision and its impact on human muscle activation and movement increases. With the overall objective of being able to evaluate car occupant protection throughout whole sequences of events, the aim of this project was to develop a methodology to enable muscle control in an active human model for situations with vertical accelerations, validate the model and continuously use it for safety system development. The project resulted in an updated model that fulfills this objective.

Expected long term effects

The unique active human body model developed together by the project partners has been further developed for use in more situations such as maneuvers with large global rotations and the model has been prepared for use in situations with vertical accelerations. By further strengthening this competitive tool, Swedish actors in the automotive industry are given the opportunity to develop future unique products for occupant protection.

Approach and implementation

The methods in the project can be characterized as a combination of fundamental research, applied research and industrial application. The basic research parts primarily concerned further development of muscle modeling, while applied research involved the collection and processing of volunteer data as well as model improvement. Finally, the model has continuously been used in industrial applications.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 5 July 2022

Reference number 2017-05516