Driving style layered fuzzy recognition system based on recognition coefficient

Abstract

The invention discloses a driving style layered fuzzy recognition system based on a recognition coefficient. The driving style layered fuzzy recognition system comprises a data obtaining module, a recognition coefficient solving module and a recognition module; the data obtaining module obtains vehicle real-time traveling data, in the recognition coefficient solving module, a vehicle impact function is defined through the vehicle speed, and then the driving style recognition coefficient is defined through standard difference of a vehicle impact degree and a power demand coefficient; and in the recognition module, first layer of fuzzy control takes an acceleration pedal change rate mean value and a braking pedal change rate mean value as input variables and takes the fuzz impact degree as an output variable, second layer of fuzzy control takes the impact degree difference and the driving style recognition coefficient as an input variable and takes stability, radical degree and the caution degree as an output variable, and thus the driving style is classified and recognized. According to the driving style layered fuzzy recognition system, the power demand is considered when the driving style recognition coefficient is defined, the concept of the impact degree difference is introduced to establish a double-layer fuzzy control rule, and the driving style recognition precision is improved.

Description

technical field [0001] The invention relates to the technical field of driving, and discloses a hierarchical fuzzy identification system for driving style based on identification coefficients. Background technique [0002] In the process of car driving, the vehicle itself is the main body, and the driver is also very important. Drivers have differences in gender, age, and driving style. In the same traffic environment, different driving styles of drivers will Cause the car to present different driving states. If the driver can be divided and identified with different driving styles, and a more optimal control strategy and assisted driving can be formulated according to the driving style, driving safety and economy can be improved. At the present stage, most of the recognition methods for driver's driving style are single-layer recognition, which is judged by the characteristics of the vehicle's driving data, and the recognition accuracy is limited. Contents of the inventi...

AI Technical Summary

Problems solved by technology

At this stage, most of the recognition methods for driver's driving style are single-layer recognition, which is judged by the characteristics of the vehicle's driving data, and the recognition accuracy is limited.

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