Driving risk factor quantification method based on driving behavior portrait

A driving risk and quantification method technology, applied in the field of driving safety, can solve problems such as difficulty in quantifying driving risks, and achieve the effect of improving driving behavior

Active Publication Date: 2019-08-02
南京江行联加智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of difficult quantification of driving risk in the background technology, the present invention provides a method for quantifying driving risk factors based on driving behavior portraits

Method used

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  • Driving risk factor quantification method based on driving behavior portrait
  • Driving risk factor quantification method based on driving behavior portrait
  • Driving risk factor quantification method based on driving behavior portrait

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Embodiment Construction

[0048] Embodiments of the present invention will be further described below in conjunction with accompanying drawings:

[0049] In the present invention, the data collected by multiple vehicle sensors is used as the research object of the embodiment, and the quantification diagram of the specific driving behavior-related variables is as follows: figure 1 As shown, the overall flow chart is as follows figure 2 , each step will be described in detail below.

[0050] Step 1: Preprocessing of vehicle sensor data

[0051] The vehicle sensor data collected by the OBD installed in the car is used as the original sample of the embodiment, and the sample format is as follows Figure 4 As shown, the sample data set includes but is not limited to the following indicators: device code, longitude, latitude, protocol type, mileage category, mileage accumulation (meters), total fuel volume, vehicle speed, accelerator pedal position, steering wheel direction, engine running time, Fault mi...

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Abstract

The invention discloses a driving risk factor quantification method based on a driving behavior portrait. The method comprises: firstly, preprocessing original data collected by a vehicle sensor; secondly, selecting a sampling time interval and a sampling time continuous duration for the preprocessed vehicle sensor data by using a clustering algorithm; thirdly, performing driving behavior variableselection, feature extraction of each behavior and the like on the data obtained through clustering, and energy features are extracted; and finally, establishing a driving risk factor quantificationsystem by combining with a Sigmoid function according to the extracted features. The problem that driving risk quantification is difficult is solved. The driving behavior of the driver is quantified based on the data received by the vehicle-mounted sensor equipment, the driving behavior of the driver can be improved, and an enterprise judges a good driver and assists a vehicle insurance company toidentify the risk so as to carry out differential pricing on vehicle insurance premium.

Description

technical field [0001] The invention belongs to the field of driving safety, and in particular relates to a data analysis technology for quantifying driving risks. Background technique [0002] As our country enters the Internet + era, the mobile Internet has penetrated into all areas of life. The Internet of Vehicles technology is also developing rapidly with the Internet and information technology changes, making the value of automotive big data analysis increasingly significant. Among them, in order to ensure travel safety, it has become an important technology to quantify driving risk factors based on Internet of Vehicles data. [0003] Driving risk factor quantification technology refers to the processing and analysis of data collected and accessed by vehicle terminal equipment and mobile devices based on big data analysis technology. The core is to mine the driving behavior data of car owners and quantify the various behaviors of drivers during driving , analyze driv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62G07C5/08
CPCG06Q10/0635G06Q50/26G07C5/0841G06F18/23G06F18/10
Inventor 刘江川张聪樊小毅庞海天杨洋邵俊松
Owner 南京江行联加智能科技有限公司
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