  Traumatic injuries are measured using the Abbreviated Injury Scale (AIS),
which is a risk to life scale. New human computer models use stresses and
strains to evaluate whether serious or fatal injuries are reached,
unfortunately these tensors bear no direct relation to AIS. This paper proposes
to overcome this deficiency and suggests a unique Organ Trauma Model (OTM) able
to calculate the risk to life based on the severity on any organ injury,
focussing on real-life pedestrian accidents. The OTM uses a power method, named
Peak Virtual Power (PVP), and calculates the risk to life of brain white and
grey matters as a function of impact direction and impact speed. The OTM
firstly calibrates PVP against the medical critical AIS threshold observed in
each part of the head as a function of speed. This base PVP critical trauma
function is then scaled and banded across all AIS levels using the confirmed
property that AIS and the probability of death is statistically and numerically
a cubic one. The OTM model has been tested against four real-life pedestrian
accidents and proven to be able to predict pedestrian head trauma severity. In
some cases, the method did however under-estimate the head trauma by 1 AIS
level, because of post-impact haemorrhage which cannot be captured with the
employed Lagrangian Finite Element (FE) solver. It is also shown that the
location of the injury predictions using PVP coincide with the post mortem
reports and are different to the predictions made using maximum principal
strain.
