Objective: The present study is intended to develop statistical geometric models (SGMs) which predict a driver’s hip & eye location (HL & EL) and to identify sitting strategies which statistically represent various characteristics of preferred drivi...
Objective: The present study is intended to develop statistical geometric models (SGMs) which predict a driver’s hip & eye location (HL & EL) and to identify sitting strategies which statistically represent various characteristics of preferred driving postures. Background: Although the previous researches have developed HL & EL prediction models and identified sitting strategies, the existing HL & EL prediction models have a limitation in terms of prediction accuracy and the analysis method of sitting strategies was not objective and the effect of driver’s gender/occupant package layout (OPL) to the sitting strategy has not been clearly analyzed. Method: 40 drivers’ preferred driving postures in 3 different OPL conditions (coupe, sedan, SUV) were measured by a motion capture system and the measured data were synchronized with RAMSIS humanoid which can extract the driving postures, HL & EL information of the participants. SGMs were developed by multiple regression analysis of geometric equations for driver’s posture variables, anthropometric variables and HL & EL. Siting strategies were identified by cluster analysis of participants’ preferred driving postures. Results: An adj. R² of the developed SGMs was increased by 1.6 times in average and RMSE was decreased by 15% in average comparing with the existing Reed et al. (2002)’s models. Sitting strategies were identified as erect (33% of drivers were preferred), slouched (41%), and reclined postures (26%) and the number of participants who preferred erect posture, female drivers was significantly more than twice that of male drivers. Conclusion: SGMs which can accurately predict a driver’s HL & EL were developed and sitting strategies which can statistically represent drivers’ preferred postures were identified. Application: Both the developed SMGs and identified sitting strategies would be of use as considerable information in ergonomic design/evaluation of automobile interior layout.