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A driving style classification method based on pre-classification and ensemble learning

A technology integrating learning and classification methods, applied in the field of data classification processing, can solve problems such as the inaccurate generalization ability of driving style classification methods, and achieve the effect of solving the lack of generalization ability, improving accuracy and stability, and being easy to obtain.

Active Publication Date: 2022-07-01
XIHUA UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

[0007] Aiming at the above-mentioned deficiencies in the prior art, a driving style classification method based on pre-classification and integrated learning provided by the present invention solves the problems of inaccuracy and poor generalization ability of the existing driving style classification methods

Method used

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  • A driving style classification method based on pre-classification and ensemble learning
  • A driving style classification method based on pre-classification and ensemble learning
  • A driving style classification method based on pre-classification and ensemble learning

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Embodiment Construction

[0086] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0087] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0088] like figure 1 As shown, a driving style classification method based on pre-classification and ensemble learning includes the following steps:

[0089] S1. Collect actual driving data of several sample vehicles, preprocess the actual driving data, and extract characteristic parameters from the preprocessed...

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Abstract

The invention discloses a driving style classification method based on pre-classification and integrated learning. parameters to obtain sample data; use fuzzy C-means method and spectral clustering method to pre-classify the sample data, and obtain training samples according to the pre-classification results; train the classifier through the training samples to obtain the trained classifier; The sample data is input into the classifier for classification, and the voting integration strategy is used to obtain the final classification result. The invention provides a driving style classification method based on pre-classification and integrated learning ideas, which can effectively predict and classify the driver's driving style through the driver's driving data.

Description

technical field [0001] The invention belongs to the technical field of data classification processing, in particular to a driving style classification method based on pre-classification and integrated learning. Background technique [0002] In recent years, with the rapid development of my country's economy and the continuous improvement of people's living standards, my country's car ownership has also continued to rise. In an environment where the number of vehicles is oversaturated, driver's poor driving behavior is an important factor leading to traffic accidents and urban congestion. With the popularization of Internet of Vehicles technology, mining useful information from a large amount of driving behavior data is of great significance to improve the safety management level and transportation efficiency of road transportation. Therefore, how to establish a reasonable and effective vehicle comprehensive evaluation model through the existing data has gradually become the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/24147G06F18/2411G06F18/24323G06F18/214
Inventor 郭奕王晓兰黄永茂卿朝进代晓天刘洋成熊雪军肖舒予
Owner XIHUA UNIV
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