This research addresses the assessment of head injury risks in pedestrian impacts in different codes. The methodology discussed identifies some key building blocks necessary for virtual assessment. These key building blocks form the basis for assessing head injuries in event of pedestrian collision using a validated head model developed at the University of Strasbourg in LS‐DYNA and VPS.

The collision scenario considered for the study is a 40 km/h, no braking mid‐position configuration. The small electric vehicle and Human Body Models used in the study were validated separately in both codes. The human body models used is similar but not completely identical. The comparability between the two Human Body Models concerning full body kinematics and related values for the Head Impact Time and the forces are quite good with a difference of just 3 ms. The models also showed good comparability for skull fracture risk and diffuse axonal injury;​ however differences were observed for the prediction of subdural haematoma.

The simulation results indicated that the two Human Body Models and the Strasbourg University FE Head Model models under LS‐DYNA and VPS deliver comparable results respectively, predict quite comparable injury risks and show almost similar full body kinematics and head impact time. This is the basis for developing a harmonised Human Body Model yielding reproducible and comparable results in multiple codes with a valid injury risk prediction.