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Research methods for evaluating driver's cognitive performance based on driving behavior

A driver and behavior technology, applied in the field of machine learning, can solve frequent traffic accidents, life-threatening, exhaust pollution and other problems, and achieve the effect of improving safety

Active Publication Date: 2022-07-08
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, cars also bring great harm, frequent traffic accidents, exhaust emissions pollute the environment
Among them, the most serious damage is the frequent occurrence of traffic accidents. Once traffic occurs, it will not only cause economic losses, but also pose a serious threat to life.

Method used

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  • Research methods for evaluating driver's cognitive performance based on driving behavior
  • Research methods for evaluating driver's cognitive performance based on driving behavior
  • Research methods for evaluating driver's cognitive performance based on driving behavior

Examples

Experimental program
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Embodiment Construction

[0041] The functions and effects of the present invention will be described in detail below in conjunction with the accompanying drawings and accompanying tables.

[0042]In this example, the implementation of the invention is given based on the Nagoya University's public road experiment database for elderly driving. The algorithm flow of the whole system is as follows: figure 1 As shown, it includes several steps of data cleaning, data feature extraction, experimental function, model construction, and analysis of predicted driving behavior. Specific steps are as follows:

[0043] The invention takes the elderly driving public road experimental data set as the processing object, and proposes a framework for analyzing driver behavior. The system flow chart is as follows: figure 1 shown, the specific contents include:

[0044] 1) Data preprocessing for the database collected from the experiment

[0045] 2) In the regression function, the Pearson coefficient is used to select ...

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Abstract

The invention discloses a research method for evaluating a driver's cognitive performance based on driving behavior, comprising the following steps: 1) preprocessing data for a database collected from experiments; 2) selecting features by using Pearson coefficient in a regression function, and constructing a lasso Regression and ridge regression functions, perform cross-validation, improve accuracy, and obtain predicted cognitive performance; 3) Use two methods to predict driver cognitive behavior; 4) Driver behavior analysis: first analyze the MMSE target, in " Overall Roads", "Residential Goes and Intersections", and especially "Residential Roads and Intersections" are predicted.

Description

technical field [0001] The invention relates to the field of machine learning, and provides a research method for evaluating a driver's cognitive performance based on driving behavior. Background technique [0002] Cars have brought great changes to people's lives, promoted economic development, and improved people's living standards; the mobility of human beings has been greatly improved, promoting exchanges between different regions, and making cross-regional life and work a Possibly; it drives the development of related industries and makes the emergence of emerging industries and high technology possible. However, cars also bring great harm, frequent traffic accidents, and exhaust emissions pollute the environment. Among them, the most serious damage is the frequent occurrence of traffic accidents. Once traffic occurs, it will not only cause economic losses, but also cause serious threats to life. There are many factors that cause traffic accidents, such as: the comple...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06F16/215G06N3/04
CPCG08G1/0104G06F16/215G06N3/044G06N3/045
Inventor 付英健王龙标党建武
Owner TIANJIN UNIV
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