Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Research method for evaluating cognitive performance of driver based on driving behaviors

A driver and behavior technology, applied in the field of machine learning, can solve frequent traffic accidents, economic losses, life threats and other problems, and achieve the effect of improving safety

Active Publication Date: 2020-09-29
TIANJIN UNIV
View PDF7 Cites 3 Cited by
  • Summary
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Research method for evaluating cognitive performance of driver based on driving behaviors
  • Research method for evaluating cognitive performance of driver based on driving behaviors
  • Research method for evaluating cognitive performance of driver based on driving behaviors

Examples

Experimental program
Comparison scheme
Effect test

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]This embodiment presents the implementation of the invention based on the public road experiment database of the elderly driving at Nagoya University. The algorithm flow of the entire system is as follows figure 1 As shown, there are several steps including data cleaning, data feature extraction, experimental function, model construction, and analysis of predicted driving behavior. Specific steps are as follows:

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

[0044] 1) For the collected experimental database, data preprocessing

[0045] 2) In the regression function, use the Pearson coeff...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a research method for evaluating the cognitive performance of a driver based on driving behaviors. The method comprises the following steps: step one, carrying out data preprocessing of a collected experimental database; step two, in a regression function, selecting features by using a Pearson coefficient, constructing functions of lasso regression and rid regression, and performing cross validation to improve the accuracy and obtain predicted cognitive performance; step three, predicting cognitive behaviors of the driver through two methods; and step four, analyzing behaviors of the driver, namely analyzing an MMSE target, and performing predicting in an overall road, a residence and an intersection, especially in a residence road and an intersection.

Description

technical field [0001] The invention relates to the field of machine learning, and provides a research method for evaluating driver cognitive performance based on driving behavior. Through driver behavior analysis, the driver's cognitive behavior can be predicted to improve driving safety. Background technique [0002] Automobiles have brought great changes to people's lives, promoted economic development, and improved people's living standards; human mobility has greatly improved, promoting exchanges between different regions, and making cross-regional living and working a reality. Possibility; it drives the development of related industries and makes it possible for emerging industries and high technology to emerge. However, automobiles 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 los...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com