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Correlation analyzing method based on vehicle, road conditions and safe travel big data in network of vehicles

A technology of data analysis and Internet of Vehicles, applied in traffic control systems of road vehicles, traffic flow detection, instruments, etc., can solve the problems of neglecting data correlation and incomplete data.

Inactive Publication Date: 2016-08-10
SUZHOU AINUOXIN INFORMATION TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a big data correlation analysis method that integrates the vehicle data, road data, and car workshop data to carry out driving behavior, driving environment and vehicle condition, so as to overcome the data used for analysis in the prior art Not comprehensive, focusing on results and ignoring the defects of data correlation

Method used

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  • Correlation analyzing method based on vehicle, road conditions and safe travel big data in network of vehicles
  • Correlation analyzing method based on vehicle, road conditions and safe travel big data in network of vehicles
  • Correlation analyzing method based on vehicle, road conditions and safe travel big data in network of vehicles

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example 1

[0060] Example 1. Analyze the correlation between sudden braking driving behavior and driving environment factors and vehicle condition factors.

[0061] 1. Obtain the data stored in the cloud within a week, including vehicle acceleration data, gear position data, road traffic flow and signal light data, front-vehicle distance data, vehicle abnormality report data, and battery power data;

[0062] 2. Eliminate the outliers of the required data through the box plot method;

[0063] 3. Since the acceleration is negative when the vehicle brakes, and the absolute value of the acceleration is relatively large during sudden braking, the negative acceleration value is identified and taken as its absolute value, and the part of the data that is higher than the average value is further screened out as a sign of sudden braking At the same time, the same time period is used as the calibration to filter out the required parts of other related data;

[0064] 4. Since the units of the abov...

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Abstract

The invention discloses a correlation analyzing method based on vehicle, road conditions and safe travel big data in a network of vehicles. The method comprises the following steps of data acquiring, data transmitting and storing, data de-noising, data analyzing, and data display and feedback. The data acquiring process is not limited to data of the vehicles, and it also includes data related to roads and surrounding vehicles. With data classification and storage, removal of abnormal values through de-noising, as well as multivariate linear regression fitting analysis, the correlations can be determined and sent back to the owner of a vehicle among the conditions for dangerous driving, vehicle's hardware state, road environments, surrounding vehicles and driving behaviors. The analyzing method provided by the invention can enable drivers to learn about their driving behaviors and their vehicles' states. For the instant replacement of parts with potential to bring danger and the rectification of bad driving behaviors, the purposes can be achieved including energy reduction, vehicle lifetime extending, and safe driving.

Description

technical field [0001] The invention relates to a method for analyzing the correlation between vehicle and road conditions and driving safety big data based on the Internet of Vehicles. Background technique [0002] In recent years, with the continuous improvement of smart car technology, more and more data has been generated by the vehicle itself, and the continuous development of Internet of Vehicles technology has enabled people to monitor and control road conditions more and more, and vehicle-to-vehicle communication has also become reality. At the same time, there are more and more data analysis methods and tools, so more and more organizations or individuals hope to analyze driving behavior by analyzing these data, so as to achieve the purpose of improving driving safety. [0003] However, some existing methods only focus on the data recorded by the vehicle itself for driving behavior analysis, and the accuracy of the analysis results is generally low. Therefore, many...

Claims

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Application Information

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IPC IPC(8): G08G1/01H04L29/08
CPCG08G1/0104H04L67/10H04L67/12
Inventor 刘富强
Owner SUZHOU AINUOXIN INFORMATION TECH CO LTD
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