Optimisation-based approach for determining driver seat adjustment range for vehicles

Jared Gragg, Jingzhou Yang, James David Long

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)148-161
Number of pages14
JournalInternational Journal of Vehicle Design
Volume57
Issue number2-3
DOIs
StatePublished - Jan 2011

Keywords

  • Digital human modelling
  • Multi-objective optimization
  • Posture prediction
  • Seat adjustment range

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