Human Computational Modeling
Body shape. Age. Posture.
Computational modeling plays a vital role in vehicle safety by allowing researchers to simulate and analyze a wide range of crash scenarios, driver behaviors, and vehicle responses without physical testing. Through advanced computer models, engineers can predict how vehicles, occupants, and safety systems will behave during collisions, enabling them to identify potential risks and improve designs before vehicles are built or tested on the road. This approach not only saves time and resources but also enables testing of extreme or rare scenarios that would be difficult or dangerous to recreate physically. Ultimately, computational modeling leads to safer vehicles by guiding the development of more effective safety features and innovations in automotive design.
Let’s Connect
Matt Reed
Don B. Chaffin Collegiate Research Professor
Expertise: Vehicle ergonomics, engineering anthropometry, occupant crash protection, occupant restraint systems, crash dummy development, computational modeling, posture prediction, motion simulation, human motion simulation lab
Byoung-Keon (Daniel) Park
Associate Research Scientist
Expertise: Statistical human shape/behavior modeling, digital anthropometry, computational/parametric geometry, model-based product design, markerless motion capturing, vehicle occupant monitoring, population characterization
Monica Jones
Associate Research Scientist
Jingwen Hu
Research Professor
Expertise: Injury biomechanics, parametric human modeling, occupant protection, design optimization, vulnerable road users, sled testing, digital twin, adaptive safety design, AI-based injury assessment, pre-crash and crash simulations