Driving style classification and recognition method and system suitable for domestic crowds

A driving style and recognition system technology, applied in the field of driver behavior analysis, can solve problems such as unreasonable classification and low recognition accuracy, and achieve the effect of reducing difficulty, improving recognition accuracy, and accurate and reasonable classification.

Pending Publication Date: 2019-10-11
CATARC AUTOMOTIVE TEST CENT TIANJIN CO LTD +1
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AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention aims to propose a driving style classification and recognition method and system suitable for the domestic population, so a

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  • Driving style classification and recognition method and system suitable for domestic crowds
  • Driving style classification and recognition method and system suitable for domestic crowds
  • Driving style classification and recognition method and system suitable for domestic crowds

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specific Embodiment approach

[0046] In this embodiment, a dimensionality reduction module is also provided; the dimensionality reduction of the driving style characteristic parameters is realized by means of the PCA algorithm, and the principal component dimensionality reduction steps are as follows image 3 . The specific implementation is as follows:

[0047] Step 1: In order to eliminate the influence of dimension, it is necessary to standardize the initial characteristic parameters. The standardized input is 29 characteristic parameters, that is, to standardize an n*29 matrix (y) to obtain a new n*29 matrix (y 2 ), the specific calculation is: the new matrix y 2 For each element in y, subtract the mean of the column in which the element is located and divide by the standard deviation of the column.

[0048] Step 2: Calculate the covariance matrix, the eigenvalues ​​of the covariance matrix, the eigenvectors of the covariance matrix, the value of the principal component (principal component score), t...

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Abstract

The invention provides a driving style classification and identification system and method suitable for domestic crowds. The identification system comprises a driving style road environment simulationmodule, a data acquisition module, a database processing module, a dimension reduction module, a database sample classification module and a driving style identification module. 29 driving style characteristic parameters are provided so that the driving style is comprehensively analyzed and judged from multiple aspects. A thought of establishing a driving style database of domestic drivers is provided. A fuzzy C-means classifier is proposed to classify the driving styles. The problem of how to accurately classify driving style samples is solved, and reasonable classification of a driving style database is realized; and a driving style identification model is established by using a mode identification neural network, so that the driving style identification precision is improved, and the driving style identification difficulty is reduced.

Description

technical field [0001] The invention belongs to the field of driver behavior analysis, and in particular relates to a driving style classification and recognition method and system suitable for domestic crowds. Background technique [0002] Driving style is the characteristics of the driver's driving behavior, which reflects the driving operation behavior of the vehicle during the driving process, and the resulting vehicle response. Driving style affects the fuel economy of a car. Aggressive driving styles often have high fuel consumption. To improve fuel economy, different energy control strategies need to be adopted according to different driving styles. In the field of intelligent network connection, according to the driver's driving style, The intelligent system provides the driver with an assisted driving mode that matches his driving characteristics, increasing the humanized service of the car. [0003] The driving style is judged according to the characteristic param...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045G06F18/23213G06F18/2135G06F18/241
Inventor 杨建军李立治郭文翠刘双喜高继东马杰张先锋李萍白巴特尔聂国乐
Owner CATARC AUTOMOTIVE TEST CENT TIANJIN CO LTD
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