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

Driving behavior risk index judgment method based on mobile phone car networking data

A risk index and Internet of Vehicles technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as frequent failures and high accident rates in rainy weather, and achieve the effects of convenient and easy access to data, intuitive and clear features, and scientific and effective calculations

Pending Publication Date: 2021-10-15
中冶南方城市建设工程技术有限公司 +1
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, many companies have developed L4 level autonomous driving technology, but when it is used in practice, failures occur frequently, such as the intersection will not change lanes, and the accident rate is high in rainy weather.

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
  • Driving behavior risk index judgment method based on mobile phone car networking data
  • Driving behavior risk index judgment method based on mobile phone car networking data
  • Driving behavior risk index judgment method based on mobile phone car networking data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as figure 1 Shown is a schematic flow chart of a method for determining a driving behavior risk index based on mobile phone Internet of Vehicles data provided by an embodiment of the present invention. figure 1 The method shown includes the following steps:

[0041] S1: Construct an intuitive characteristic system of driving behavior based on the data of the Internet of Vehicles of the mobile terminal;

[0042] S2: On the basis of the intuitive characteristic system of driving behavior, construct a characteristic system of dangerous driving behavior from the perspective of safe driving;

[0043] S3: Establish a linear relationship between the risk index of driving behavior and the characteristics of dangerous driving behavior to build a prediction model of risk index of driving behavior, and use the characteristic system of dangerous driving behavior to predict the risk index of the driver's driving behavior.

[0044] In this embodiment, in step S1, an intuitive ...

Embodiment 2

[0048] Such as figure 2 Shown is a schematic diagram of a method for constructing a driving behavior risk index prediction provided by an embodiment of the present invention, including:

[0049] S1: Construct an intuitive feature system of driving behavior based on mobile phone Internet of Vehicles data;

[0050] S2: On the basis of step S1, construct a characteristic system of dangerous driving behavior from the perspective of safe driving;

[0051] S3: Construct a driving behavior risk index prediction model, and use the dangerous driving behavior characteristic system to predict the driver's driving behavior risk index D.

[0052] In the present embodiment, in step S1, the mobile phone Internet of Vehicles data includes seven indicators such as trip ID, time, longitude, latitude, direction (angle), altitude, and phone status; wherein the meaning of each indicator is shown in Table 1 below:

[0053] Table 1 Data Meaning of Mobile Internet of Vehicles

[0054]

[0055]...

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 driving behavior risk index judgment method based on mobile phone car networking data, and belongs to the fields of Internet of Vehicles, automatic driving, vehicle insurance prediction, vehicle insurance pricing and the like. The method comprises the following steps: constructing a driving behavior visual characteristic system based on the mobile phone terminal Internet of Vehicles data; on the basis of the driving behavior intuitive characteristic system, building a dangerous driving behavior characteristic system from the angle of safe driving; and establishing a linear relationship between the driving behavior risk index and the dangerous driving behavior characteristics to construct a driving behavior risk index prediction model, and predicting the driving behavior risk index of the driver by using a dangerous driving behavior characteristic system. According to the invention, the driving behavior visual characteristic system, the driving dangerous behavior characteristic system and the driving behavior risk index prediction model are constructed, so that the driving behavior risk of the driver can be efficiently judged, and the method has certain promotion significance for perfecting and optimizing an auxiliary driving system and realizing a higher-level automatic driving technology.

Description

technical field [0001] The invention belongs to the fields of car networking, automatic driving, car insurance forecasting, car insurance pricing, etc., and more specifically relates to a method for determining a driving behavior risk index based on mobile phone car networking data. Background technique [0002] According to the development status of the autonomous driving field, the standard used globally is the five levels, L0-L4, formulated by the US National Highway Traffic Safety Administration (NHTSA). At present, many companies have developed L4-level autonomous driving technology, but when it is used in practice, failures occur frequently, such as the intersection will not change lanes, and the accident rate is high in rainy weather. New cars launched in 2021 are generally equipped with L2-level automatic driving technology, which can realize adaptive cruise control system, automatic emergency braking and other functions to assist the driver to complete the driving b...

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 Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/26G06Q50/30
CPCG06Q10/0635G06Q10/04G06Q50/265G06Q10/06393G06Q10/06398G06Q50/40
Inventor 郭梦迪邵俊豪王佼佼刘青意赵瑞松李叙辰周强
Owner 中冶南方城市建设工程技术有限公司
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