EFFECTS OF DRIVER PERSONAL VARIABLES ON PREFERRED VEHICLE INTERIOR COMPONENTS SETTING

Authors

  • Yihun Jeong Department of Industrial Engineering, Keimyung University, Daegu, Korea https://orcid.org/0000-0002-1979-9030
  • Giwhyun Lee Department of Defense Systems Engineering, Korea Army Academy at Yeongcheon, Yeongcheon, Korea
  • Donghyun Beck Department of Safety Engineering, Incheon National University, Incheon, Korea
  • Woojin Park Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University

DOI:

https://doi.org/10.23055/ijietap.2023.30.1.8495

Keywords:

driver accommodation, occupant packaging, vehicle ergonomics

Abstract

This study identified and characterized the relationship between driver personal variables and preferred vehicle interior components setting. A two-phase modeling approach was employed to characterize the temporal, logical process involved in the driver selection of a preferred vehicle interior components setting. The modified Bayesian multivariate adaptive regression splines (BMARS) modeling method was employed to identify nonlinear and interactive relationships. Forty-two male and forty-four female drivers with a wide range of ages, stature, and BMI participated in the data collection. A highly adjustable vehicle mock-up was used to empirically obtain each participant’s preferred vehicle interior components setting. The study results indicated substantial non-anthropometric variability in the driver-selected seat horizontal positions and identified various interpretable nonlinearities and interactions. The study findings improve the understanding of the relationship between driver personal variables and preferred vehicle interior configuration and further inform the vehicle interior package design for driver accommodation.

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Published

2023-02-15

How to Cite

Jeong, Y., Lee, G., Beck, D., & Park, W. (2023). EFFECTS OF DRIVER PERSONAL VARIABLES ON PREFERRED VEHICLE INTERIOR COMPONENTS SETTING. International Journal of Industrial Engineering: Theory, Applications and Practice, 30(1). https://doi.org/10.23055/ijietap.2023.30.1.8495

Issue

Vol. 30 No. 1 (2023)

Section

Work Measurement, Human Factors and Ergonomics

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