Human Computational Modeling

Hermes™ human element-based research model example of human skeleton seated with data shown indicating sex, age, stature, sitting height, BMI
Hermes™—a human element-based research model—was developed by the biomechanics research team at UMTRI. Most modeling software represents the same two or three sizes of people, but humans have a wide range of shapes and sizes. Hermes™ can represent a diverse population and can rapidly generate geometry for any person.

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.

Matt Reed

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

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

Monica Jones

Associate Research Scientist

Expertise: Engineering anthropometry, vehicle occupant protection, ergonomics, motion sickness, human factors, human-machine interaction, driver state monitoring, parametric human modeling

Jingwen Hu

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