In order to meet the driving characteristics and needs of different types of
drivers and to improve driving comfort and safety, this article designs
personalized variable transmission ratio schemes based on the classification
results of drivers’ steering characteristics and proposes a switching strategy
for selecting variable transmission ratio schemes in response to changes in
driver types. First, data collected from driving simulator experiments are used
to classify drivers into three categories using the fuzzy C-means clustering
algorithm, and the steering characteristics of each category are analyzed.
Subsequently, based on the steering characteristics of each type of driver,
suitable speed ranges, steering wheel travel, and yaw rate gain values are
selected to design the variable transmission ratio, forming personalized
variable transmission ratio schemes. Then, a switching strategy for variable
transmission ratio schemes is designed, using a support vector machine to build
a driver classification and identification model, and a transition scheme for
variable transmission ratios is proposed. Finally, simulations are conducted to
validate the personalized variable transmission ratio schemes and the transition
schemes. The results show that the personalized variable transmission ratio
schemes reduce driver burden and improve vehicle handling stability while
meeting the driving characteristics and needs of different types of drivers. The
switching strategy for selecting variable transmission ratio schemes can
smoothly transition between different schemes for different types of drivers,
ensuring that the variable transmission ratio schemes better match the driving
characteristics and needs of the driver without affecting normal driving.
