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In-Depth Accident Study for Improved Injury Assessment Tool and its Coupling with Driver Behaviors

Reference number
Coordinator Kungliga Tekniska Högskolan - Institutionen för Medicinsk teknik och hälsosystem
Funding from Vinnova SEK 2 944 605
Project duration September 2020 - March 2024
Status Completed
Venture Bilateral call for proposals with China
Call Research, development and innovation in the fields of life science, traffic safety and applied ICT - China collaboration

Important results from the project

This project achieved intended goal of enhancing traffic safety through bilateral collaboration. Key outcomes include the Swedish team’s development of an innovative injury assessment tool using HBMs, collection of CIDAS-Bio database, and new efficient techniques for case-specific and personalized HBM accident reconstruction. These works have supported Chinese partners in establishing a platform for driver behavior interventions and optimizing road safety facility designs. The collaborative efforts between teams have contributed to traffic safety in both countries.

Expected long term effects

The project delivered an innovative injury assessment tool, as well as new and efficient accident reconstruction techniques including image registration-based HBM personalization, a semi-automatic vehicle-specific model, a streamlined reconstruction pipeline, and a new and enhanced accident database CIDAS-Bio suitable for biomechanical reconstruction. Industrial partner(s) expect to implement the innovative tools for research activities in the next three months and for development activities in the next six months.

Approach and implementation

The project was divided into four collaborative work packages: case collection and data analysis, injury risk function development, driver behaviors and road safety facilities, and finally industrial applications. Using state-of-the-art HBMs and the CIDAS-Bio database with surveillance videos and medical records was crucial for precise accident reconstructions and injury-specific risk functions. Challenges in data collection and reconstruction accuracy were addressed through developing new techniques and close collaboration between Swedish and Chinese teams.

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

Last updated 14 June 2024

Reference number 2019-03386