Statistical Models for Predicting Automobile Driving Postures for Men and Women Including Effects of Age

Background: Previously published statistical models of driving posture have been effective for vehicle design but have not taken into account the effects of age. Objective: The present study developed new statistical models for predicting driving posture. Methods: Driving postures of 90 U.S. drivers...

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Bibliographic Details
Published in:Human factors 2016-03, Vol.58 (2), p.261-278
Main Authors: Park, Jangwoon, Ebert, Sheila M., Reed, Matthew P., Hallman, Jason J.
Format: Article
Language:English
Subjects:
Adult
Age
Aged
Aged, 80 and over
Aging - physiology
Anatomic Landmarks - physiology
Assessments
Automobile drivers
Automobile Driving
Automobiles
Automotive engineering
Body size
Comparative analysis
Female
Hip - physiology
Human factors research
Humans
Male
Mathematical models
Men
Middle Aged
Models, Statistical
Packages
Posture
Posture - physiology
Prediction models
Regression analysis
Space life sciences
Statistical analysis
Statistical models
Young Adult
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Summary:Background: Previously published statistical models of driving posture have been effective for vehicle design but have not taken into account the effects of age. Objective: The present study developed new statistical models for predicting driving posture. Methods: Driving postures of 90 U.S. drivers with a wide range of age and body size were measured in laboratory mockup in nine package conditions. Posture-prediction models for female and male drivers were separately developed by employing a stepwise regression technique using age, body dimensions, vehicle package conditions, and two-way interactions, among other variables. Results: Driving posture was significantly associated with age, and the effects of other variables depended on age. A set of posture-prediction models is presented for women and men. The results are compared with a previously developed model. Conclusion: The present study is the first study of driver posture to include a large cohort of older drivers and the first to report a significant effect of age. Application: The posture-prediction models can be used to position computational human models or crash-test dummies for vehicle design and assessment.
ISSN:0018-7208
1547-8181
DOI:10.1177/0018720815610249