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Driving behavior warning method based on vehicle bus data

A vehicle bus and behavior technology, applied in vehicle components, vehicle safety arrangements, pedestrian/passenger safety arrangements, etc., can solve problems such as inability for users to correct bad driving behaviors, lack of users' long-term driving habits, and evaluation

Inactive Publication Date: 2013-01-16
BEIJING CARSMART TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, most of the warning methods related to driving behavior are to install various sensors, obtain relevant data, and remind users to pay attention to the current driving in real time. They lack the evaluation of users' long-term driving habits and cannot effectively help users correct their bad driving behaviors.

Method used

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  • Driving behavior warning method based on vehicle bus data
  • Driving behavior warning method based on vehicle bus data
  • Driving behavior warning method based on vehicle bus data

Examples

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Embodiment Construction

[0051] 1) Suppose there is Mr. Wang with the product of the present invention installed in the car, and the score after a certain driving is as follows: P b =70, P a =80, P t =100, P r =80, P v =70, P d =80.

[0052] Assuming that after calculation, the weight of each indicator in this period is: W b =15%, W a =20%, W t =20%, W r =15%, W v =20%, W d =10%.

[0053] Then the total score after this driving is: 70×15%+80×20%+100×20%+80×15%+70×20%+80×10%=80.5

[0054] 2) Mr. Wang has been driving several times this month, determine the specific driving times and the score of each time, as shown in the following example

[0055]

[0056] Assuming that after calculation, Mr. Wang's average score this month

[0057] 3) Determine the score for the number of violations this month and the score for parts replacement, assuming P respectively q =70,P l =100;

[0058] According to experience and user needs, the weight values ​​obtained are: W q =25%, W l =15%, then ...

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Abstract

The invention relates to a driving behavior warning method based on vehicle bus data. The driving behavior warning method based on vehicle bus data is characterized by comprising an iOBD terminal and an iOBD monitoring platform, wherein the iOBD terminal provides the following data according to the driving state: sudden brake times (b), sudden acceleration times (a), sudden turning times (t), rotating speed (r), average speed (v) and driving distance (d); the iOBD terminal transmits the data information to the iOBD monitoring platform; the iOBD monitoring platform performs statistics and analysis on the driving behavior data of a user and determines the comprehensive driving behavior score of the user; and the iOBD monitoring platform transmits the comprehensive driving behavior score of the user to a mobile phone of the user to serve as the basis of judging advantages and disadvantages of long-term driving behavior, prompts according to the score and triggers warning according to the real-time data. By the driving behavior warning method based on vehicle bus data, the driving behavior score of the user is calculated according to the preset user driving behavior statistics analysis model. The driving behavior warning method based on vehicle bus data has the advantages that the advantages and the disadvantages of the driving behavior of the user can be judged; an analysis report is formed and transmitted to the user; and the driving safety of the user is greatly improved.

Description

technical field [0001] The invention relates to a driving behavior warning method based on vehicle bus data. Background technique [0002] Statistics on road traffic accidents at home and abroad show that more than 70% of the accidents are directly caused by drivers. The analysis of the causes of accidents shows that there is a strong correlation between driving behavior and the occurrence of traffic accidents. Therefore, it is necessary to conduct in-depth research on driving behavior to improve the level of traffic safety. [0003] At present, there are many warning methods for driving behavior at home and abroad. For example, Toyota uses steering wheel angle sensors and pulse sensors to collect signals and alert the driver through auditory, visual and vibrating seats. The anti-drowsiness system installed by Mercedes-Benz on its E-class sedans inputs actions with high correlation into the system. Once the system detects that the driver has similar driving behavior, it w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60R16/02B60R21/01
Inventor 李旭冯雪时郭翀
Owner BEIJING CARSMART TECH
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