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Published on: January 20, 2019
Development of seating accommodation models for soldiers in vehicles
Yaser Zerehsaz1, Jionghua Judy Jin1, Sheila M Ebert2
1a Industrial and Operations Engineering Department , University of Michigan , Ann Arbor , MI , USA.
New statistical models define military vehicle driver seating accommodation, considering body armor and gear. These models improve tactical vehicle design for better soldier fit and comfort.
Area of Science:
- Human Factors Engineering
- Ergonomics
- Military Vehicle Design
Background:
- Optimizing driver seating is crucial for military vehicle operational effectiveness and safety.
- Previous seating accommodation models did not account for personal protective equipment (PPE) and body-borne gear worn by soldiers.
- Tactical vehicle design requires specific consideration of driver anthropometry and posture.
Purpose of the Study:
- To develop statistical models for predicting driver-selected seating positions in military vehicles.
- To create the first driver accommodation models that incorporate the effects of body armor and body-borne gear.
- To provide a foundation for designing more accommodating and ergonomic seating in tactical vehicles.
Main Methods:
- Analysis of soldier driving postures and seating positions from a large-scale laboratory study.
- Application of regression techniques to develop statistical accommodation models.
- Focus on driver positions with fixed heel points and variable steering wheel locations in tactical vehicles.
Main Results:
- Developed predictive models for driver seating accommodation based on population anthropometry and vehicle layout.
- Successfully integrated the impact of body armor and body-borne gear into seating accommodation predictions.
- Established novel models applicable to typical tactical vehicle designs.
Conclusions:
- The developed models offer significant benefits for the design of military vehicles.
- The methodology can be extended to other driving environments where protective equipment influences seating posture, such as law enforcement and firefighting vehicles.
- These findings represent a significant advancement in understanding and modeling driver accommodation in demanding operational contexts.
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