Optimization Design of Customized Passenger Car Cockpit Layout based on Safety Ergonomic Principles

doi:10.23940/ijpe.19.02.p15.505513

Abstract

Abstract:

The optimization design problem of customized passenger car cockpits layout is increasingly complexand of growing interest in the Chinesecar market.A new system is proposed to solve this problem based on ergonomic principles.Firstly,based on Kendall’s W, groups and optimization sequences of facilities are determinedusing a combination of Delphi and the analytic hierarchy process. Secondly, the degree of crowdedness in the cockpit layout can be controlled by users’ preference. Thirdly, a particle swarm optimization (PSO) algorithm is adapted to three-dimensional car cockpit layout optimization, and the resulting inertia-adaptive PSO is compared with some typical algorithms to show superiority. Finally,the results are reasonablyanalyzed in ergonomic simulation software. Thus, the proposed platform is demonstrated to be feasible and effective.

Key words: optimization design, ergonomic, Delphi-AHP, PSO

Xin Liu, Zheng Liu, and Hongzhong Huang. Optimization Design of Customized Passenger Car Cockpit Layout based on Safety Ergonomic Principles [J]. Int J Performability Eng, 2019, 15(2): 505-513.

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References 21

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Dependent Variable	S	S²	S³	Constant
Coefficient	0.1474^***	-0.0144^***	-0.0036^*	1.6566^***
t statistic	9.51	-3.14	-2.18	52.87

	w₁₁₁	w₁₁₂	w₁₁₃	w₂₁₁	w₂₁₂	w₂₁₃	w₃₁₁	w₃₁₂	w₃₁₃	w₄
Mean ranking	6.56	6.61	5.72	8.22	8.17	9.17	2.28	2.33	1.44	4.50
Weight	0.11928	0.12019	0.103981	0.149459	0.148549	0.166719	0.041452	0.042362	0.026188	0.081819

	Optimal solution on x	Optimal solution on y	Optimal solution on z	Minimum values
Classic PSO	280.058mm	101.9689mm	-489.0659mm	20.4334
Linear Decreasing Weight PSO	275.5309mm	105.7848mm	-489.8272mm	20.3536
Inertia-Adaptive PSO	278.2273mm	101.0705mm	-490.3623mm	20.3518
Genetic Algorithm	291.2711mm	118.0944mm	-481.5274mm	20.5983
Ant Colony OptimizationAlgorithm	228.5719mm	89.52847mm	-505.6151mm	21.1401

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