Citation

Hiromatsu K. IATSS Res. 1988; 12(1): 45-53.

Copyright

(Copyright © 1988, International Association of Traffic and Safety Sciences, Publisher Elsevier Publishing)

DOI

unavailable

PMID

unavailable

Abstract

The most direct and effective method to evaluate vehicle handling is by measuring driver feeling, which is however, influenced by many factors. First, a large-scale experiment was carried out, and the influence of driver characteristics was discussed using quantification analysis, effective in integrating and determining the influences of many factors. Following this, a handling test was carried out using instrumented vehicles. The results showed that driving characteristics were greatly influenced and nonlinear, relative to age and sex. For this research, the subjects age and sex did not affect the relationship between driver feeling and vehicle response parameters, therefore, normalization by driver skill was introduced to reduce driver bias. Consequently, the results were improved remarkably. A scaling and optimization method was also applied to linearize driver feeling and data. It can be concluded that methods such as normalization, scaling and optimization were effective in achieving correlations between the data and can even be used for ordinary driver data with low responds consistency.