1,213
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Fast Calculating Surrogate Models for Leg and Head Impact in Vehicle–Pedestrian Collision Simulations

, , &
Pages S84-S90 | Received 15 Nov 2014, Accepted 30 Jan 2015, Published online: 01 Jun 2015

Figures & data

Table 1 Degrees of freedom for leg and head impact

Figure 1 Coordinate system definition and degrees of freedom for head and leg impact constellation.
Figure 1 Coordinate system definition and degrees of freedom for head and leg impact constellation.
Figure 2 Areas of assumed high nonlinearity in the output (i.e., leg injury criteria) of the leg surrogate models (dark gray) and areas of assumed low nonlinearity (light gray).
Figure 2 Areas of assumed high nonlinearity in the output (i.e., leg injury criteria) of the leg surrogate models (dark gray) and areas of assumed low nonlinearity (light gray).
Figure 3 Partition of the hood into 16 areas for training data selection.
Figure 3 Partition of the hood into 16 areas for training data selection.
Figure 4 Local linear model tree structure.
Figure 4 Local linear model tree structure.

Table 2 HIC15 mean average error results of training and test and relative change between test and training for the most relevant head impact models (no preprocessing)

Table 3 Leg acceleration, knee bending, and shearing mean average error results of training and test and relative change between test and training for the most relevant leg impact models

Figure 5 Results of the LOLIMOT head impact model on test data.
Figure 5 Results of the LOLIMOT head impact model on test data.
Supplemental material