Abstract
This paper focuses on increasing the available knowledge about correlations between objective metrics and subjective assessments in steering feel and vehicle handling. Linear and non-linear correlations have been searched for by means of linear regression and neural network training, complemented by different statistical tools. For example, descriptive statistics, the t-distribution and the normal distribution have been used to define the 95% confidence interval for expected subjective assessments and their mean, which makes it possible to predict the subjective rating related to a given objective metric and its area of confidence. Single- and multi-driver correlations have been investigated, as well as how the use of different databases and different vehicle classes affects the results. A method for automatizing the search for correlations when using the driver-by-driver strategy is also explained and evaluated. Ranges of preferred objective metrics for vehicle dynamics have been defined. Vehicles with characteristics within these ranges of values are expected to receive a higher subjective rating when evaluated. Finally, linear correlations between objective metrics have been studied, linear dependency between objective metrics has been identified and its consequences have been presented.
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Abbreviations
- 2HN:
-
Two hidden neurons
- Ay:
-
Lateral acceleration
- DS:
-
Dataset (s)
- DS1:
-
Dataset 1
- DS2:
-
Dataset 2
- DS3:
-
Dataset 3
- GPS:
-
Global positioning system
- LR:
-
Linear regression
- MIMO:
-
Multiple input-multiple output
- MSE:
-
Mean squared error
- NN:
-
Neural network (s)
- OM:
-
Objective metric (s)
- R:
-
Regression coefficient
- SA:
-
Subjective assessment (s)
- SAC:
-
Straight-ahead controllability
- SISO:
-
Single input-single output
- SWA:
-
Steering wheel angle
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Gil Gómez, G.L., Nybacka, M., Bakker, E. et al. Objective metrics for vehicle handling and steering and their correlations with subjective assessments. Int.J Automot. Technol. 17, 777–794 (2016). https://doi.org/10.1007/s12239-016-0077-y
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DOI: https://doi.org/10.1007/s12239-016-0077-y