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Driving style identification algorithm based on factor analysis and machine learning

A driving style and factor analysis technology, applied in the field of driving style identification algorithm, to achieve the effect of improving identification accuracy and reducing cost

Active Publication Date: 2020-12-08
JILIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the genetic algorithm to optimize the initial weight of the backpropagation neural network can effectively improve the identification accuracy of the model, and fill the gap that the existing driving style cannot be accurately identified

Method used

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  • Driving style identification algorithm based on factor analysis and machine learning
  • Driving style identification algorithm based on factor analysis and machine learning
  • Driving style identification algorithm based on factor analysis and machine learning

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Embodiment Construction

[0070] The preferred implementation of the present invention has been described in detail above in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the specific details of the above-mentioned implementation. Within the scope of the technical concept of the present invention, any person skilled in the art Within the technical scope disclosed in the present invention, equivalent replacements or changes are made according to the technical solutions and the inventive concepts of the present invention, and these simple modifications all belong to the protection scope of the present invention.

[0071] Step 1. Extract driving characteristic parameters strongly related to driving style from typical urban car-following conditions;

[0072] Typical urban car-following conditions contain a lot of driving data related to driving style; taking braking data as an example, the driver's brake pedal force, brake pedal travel and ot...

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Abstract

The invention belongs to the technical field of automobiles, and particularly relates to a driving style identification algorithm based on factor analysis and machine learning. According to the driving style identification algorithm, firstly, data strongly related to a driving style are selected as driving style characteristic parameters, dimensionality reduction is conducted on the characteristicparameters through factor analysis to obtain public factors, redundancy between driving data is reduced, and corresponding physical significance is given to the public factors; the public factors aretaken as an input, and labels of corresponding driving styles are marked for different drivers by adopting a Gaussian mixture model clustering algorithm; and a driving style identification model is trained by using a back propagation neural network optimized by a genetic algorithm. By fusing unsupervised learning and supervised learning, the identification cost can be effectively reduced. The genetic algorithm is used for optimizing the initial weight of the back propagation neural network, so that the identification precision of the model can be effectively improved, and the blank that the driving style cannot be identified statically is filled.

Description

technical field [0001] The invention belongs to the technical field of automobiles, and specifically relates to a driving style identification algorithm based on factor analysis and machine learning. Background technique [0002] With the continuous advancement of science and technology, the research on automobiles has gradually developed from the traditional driver's vehicle in the ring to the intelligent driving of unmanned vehicles. However, smart cars still have huge technological difficulties in the preparation of traffic regulations, vehicle safety technology redundancy, complex scene decision-making, etc., so drivers will still participate in the research and development of smart cars for a long time. [0003] Drivers often exhibit different driving styles due to different factors such as gender, driving age, and occupation. During the driving process of the vehicle, the driver will choose the appropriate driving operation according to his own driving style to obtain...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W40/09B60W50/00
CPCB60W40/09B60W50/00B60W2050/0029B60W2540/30Y02T10/40
Inventor 赵健陈志成朱冰
Owner JILIN UNIV
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