Human Body Model with Active Muscles and Detailed Head for Pedestrian Protection Head and Neck Injury Prediction
| Reference number | |
| Coordinator | Autoliv Development Aktiebolag - Autoliv Research |
| Funding from Vinnova | SEK 4 440 000 |
| Project duration | January 2014 - December 2016 |
| Status | Completed |
| Venture | Traffic safety and automated vehicles -FFI |
| End-of-project report | 2013-04704eng.pdf (pdf, 760 kB) |
Purpose and goal
The overall aim of the project was to develop methods and industrial tools to predict head and neck injuries in a biofidelic and detailed manner for car to pedestrian crashes. Focus was on improved kinematics and injury prediction of the pedestrian Human Body Model THUMS-KTH trough validation against published volunteer and PHMS experiments with the purpose to model humanlike head-to-car contact conditions and trough creating and validating a mathematical model of a windscreen enabling accident reconstructions and evaluation of pedestrian safety systems.
Expected results and effects
The project has delivered methods and industrial tools for head and neck injury prediction, addressed by an improved pedestrian human body model, an advanced user friendly post-processor tool and a detailed mathematical windscreen model. Many initiatives world-wide focused on human body models can benefit from the results of this project which form an important pillar in the SAFER HBM competence area. The project resulted in several peer-review articles, three master theses, one PhD and presentations of results and knowledge at international meetings and conferences.
Planned approach and implementation
The project was realized through collaboration between industrial partners Autoliv Development AB, Volvo Car Corporation and academic partner Royal Institute of Technology from January 1st 2014 to December 31st 2016. The project contained activities within mathematical model improvements like THUMS-KTH, windscreen model and a model of a pedestrian crash test dummy, physical whole body to vehicle crash tests as well as accident reconstruction simulations, evaluation of different countermeasures and evaluation of injury prediction capability of THUMS-KTH.