LINKS BETWEEN SUBJECTIVE ASSESSMENTS AND OBJECTIVE METRICS FOR STEERING
- Resource Type
- Article
- Authors
- M. NYBACKA; X. HE; G. GÓMEZ; E. BAKKER; L. DRUGGE
- Source
- International Journal of Automotive Technology, 15(6), 80, pp.893-907 Oct, 2014
- Subject
- 자동차공학
- Language
- English
- ISSN
- 1976-3832
1229-9138
The characteristics of steering perception are decisive factors for overall driver preference and for vehiclesafety. Car manufacturers are continuously required to tune the characteristics of the vehicle and have a strong need to be moreeffective in the design and evaluation of cars. Using only objective metrics (OM) can result in unwanted steering feel andusing only subjective assessments (SA) is time-consuming, costly and non-repetitive. Before a tool can be built to predict thesteering feel in front-end development and to improve design knowledge from the full vehicle level to the component level,links between subjective assessments and objective metrics must be found and analysed. The data collected for the studypresented in this paper include subjective ratings from expert drivers and objective measurements made with steering robots,involving twelve expert drivers and over twenty vehicles across four different vehicle classes. Linear regression and neuralnetwork analysis (NN) have been used to explore reliable subjective-objective links. The tools and methods used in thisresearch showed promising results. Most of the links found concern response and torque feedback. The preferred ranges ofsome crucial objective metrics leading to more desirable steering feel have been defined and presented. The results indicatethat it would be possible for car manufacturers to develop new vehicles more effectively with a steering feel in line with thedesign criteria by using the tools and methods investigated in this paper.