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A driving style identification method based on machine learning

A technology of driving style and machine learning, applied in the field of driving style identification based on machine learning

Active Publication Date: 2022-05-17
CHINA FIRST AUTOMOBILE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a driving style identification method based on machine learning to solve the problem of identifying the best driving style by establishing, optimizing and testing machine learning models

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  • A driving style identification method based on machine learning
  • A driving style identification method based on machine learning
  • A driving style identification method based on machine learning

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with embodiment:

[0035] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

[0036] It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative...

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Abstract

The invention relates to a driving style identification method based on machine learning, which includes obtaining raw data by an information collection platform, data preprocessing, cluster analysis based on two machine learning algorithms, driving style analysis, judging whether there is an abnormal result, and outputting a conclusion. The present invention combines multiple factors that affect driving style, selects a group of drivers with different styles to conduct real vehicle tests, and forms an original data set; performs speed slices on the original data to adapt to changes in driver's style in different scenarios; utilizes advanced The experimental results and statistical methods are used to extract features and formulate evaluation indicators. And use the correlation coefficient method to realize the dimension reduction of the evaluation index; for abnormal data and extreme data, adopt the method of refining the classification first, and then merge the results; select two objective classification methods of k-means and hierarchical clustering to classify the database samples , and compare the classification results. After verification, the driving style recognition model developed in this paper has an accuracy rate of 83%.

Description

technical field [0001] The invention belongs to the technical field of driving style recognition of automobile drivers, and in particular relates to a driving style recognition method based on machine learning. Background technique [0002] Driving style reflects a person's frequent and stable action tendencies, and can reflect the driver's thinking mode and behavior rules. Although there are individual differences and driving habits vary widely, drivers' driving styles can be roughly divided into three categories: cautious, general, and aggressive. In-depth study of driver's driving style and expression forms, and the construction of an accurate driving style identification model are of great significance for the construction of the driving database data platform and the development and verification of high-level automatic driving algorithms. Research has found that driving style often varies across drivers and driving scenarios. In existing research, subjective calibrati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/09B60W40/00G01C21/16G01S17/86G01S17/87G06K9/62G06N20/00
CPCB60W40/09B60W40/00G01C21/165G01S17/86G01S17/87G06N20/00G06F18/23213Y02T10/84
Inventor 刘迪郑建明覃斌张建军张宇飞于海军王晓非付忠显
Owner CHINA FIRST AUTOMOBILE