A driving style recognition method

A driving style and recognition method technology, applied in the field of driving style recognition, can solve problems such as the lack of reasonable solutions, and achieve the effect of reducing the cost of data collection

Active Publication Date: 2021-06-04
TONGJI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to construct driving style parameters and carry out driving style recognition based on the characteristics of low-frequency driving trajectory data still lacks a reasonable solution

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
  • A driving style recognition method
  • A driving style recognition method
  • A driving style recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0042] The present invention provides a driving style recognition method based on low-frequency driving trajectory data, so as to realize the identification of groups with different driving styles without relying on high-precision data, discover potential high-risk drivers, and formulate safety education projects or UBI car insurance for targeted purposes Provide a basis for risk management measures such as plans.

[0043] The present invention provides a driving style recognition method based on low-frequency driving trajectory data, comprising the following steps:

[0044] Step S1: Using sensors to collect driving trajectory data;

[0045] Step S2: Obtain the relative speeding behavior based on the driving trajectory data combined with geographic information data;

[0046] Step S3: Calculate the driving style parameter based on the relative speeding behavior;

[0047] Step S4: Based on the driving style parameters, use a clustering algorithm to identify the driving style. ...

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 present invention relates to a driving style recognition method, which comprises the following steps: step S1: using a sensor to collect driving trajectory data; step S2: based on the driving trajectory data, combined with geographical information data to obtain relative speeding behavior; step S3: based on relative speeding behavior , to obtain the driving style parameters; step S4: based on the driving style parameters, use a clustering algorithm to identify the driving style. Compared with the existing technology, the data accuracy requirements for driving style recognition are relaxed. Based on low-frequency data, it is beneficial to reduce the data collection cost of driving style recognition; it expands the application of low-frequency driving trajectory data in driving style exploration; it can improve road traffic. safety.

Description

technical field [0001] The invention relates to the field of driving style recognition, in particular to a driving style recognition method. Background technique [0002] Driving style is an overall evaluation index that characterizes the driver's inherent driving style. Driving style research mainly divides drivers from the perspectives of energy-saving driving and traffic safety. Existing studies have shown that the driver's style is closely related to traffic safety: drivers with aggressive driving styles have bad driving behaviors such as frequent lane changes, rapid acceleration and deceleration, and close-distance car following, which are likely to increase the probability of accidents. Through the study of driving style, the detection or feedback of the bad driving style of the driver's daily driving can realize the supervision and education of the driver's driving behavior, and assist with corresponding measures to improve driving safety. [0003] The data for driv...

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
Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/09
CPCB60W40/09B60W2720/00
Inventor 余荣杰龙晓捷
Owner TONGJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products