TY - JOUR
T1 - Optimisation-based approach for determining driver seat adjustment range for vehicles
AU - Gragg, Jared
AU - Yang, Jingzhou
AU - Long, James David
PY - 2011/1
Y1 - 2011/1
N2 - When designing for human variability in the interior cab design for a vehicle, it becomes difficult to predict an optimum driver seat adjustment range. This paper proposes an optimisation-based approach to determine the seat adjustment range without the need for population sampling and stochastic posture prediction. This paper uses boundary anthropometric digital human models, a 95% male and a 5% female, to establish the driver seat adjustment range for vehicles. The simulation predicts the optimum posture of the seated driver inside the vehicle, and also gives an indication of how comfortable the driver is while seated in the predicted posture.
AB - When designing for human variability in the interior cab design for a vehicle, it becomes difficult to predict an optimum driver seat adjustment range. This paper proposes an optimisation-based approach to determine the seat adjustment range without the need for population sampling and stochastic posture prediction. This paper uses boundary anthropometric digital human models, a 95% male and a 5% female, to establish the driver seat adjustment range for vehicles. The simulation predicts the optimum posture of the seated driver inside the vehicle, and also gives an indication of how comfortable the driver is while seated in the predicted posture.
KW - Digital human modelling
KW - Multi-objective optimization
KW - Posture prediction
KW - Seat adjustment range
UR - http://www.scopus.com/inward/record.url?scp=84863144030&partnerID=8YFLogxK
U2 - 10.1504/IJVD.2011.044716
DO - 10.1504/IJVD.2011.044716
M3 - Article
AN - SCOPUS:84863144030
SN - 0143-3369
VL - 57
SP - 148
EP - 161
JO - International Journal of Vehicle Design
JF - International Journal of Vehicle Design
IS - 2-3
ER -