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A method for analyzing vehicle safety driving behavior based on massive traffic data analysis

A traffic data and safe driving technology, applied in the field of vehicle safe driving behavior analysis, can solve the problems of high research cost and limited range of vehicle objects

Active Publication Date: 2020-01-10
ENJOYOR COMPANY LIMITED
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there are many deficiencies in the analysis of driving safety behavior in the industry. Some need to invent a complex terminal device to monitor vehicles, and some only analyze vehicles of a specific group (such as all trucks of a logistics company). In a nutshell, High research cost or limited range of vehicle objects

Method used

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  • A method for analyzing vehicle safety driving behavior based on massive traffic data analysis
  • A method for analyzing vehicle safety driving behavior based on massive traffic data analysis
  • A method for analyzing vehicle safety driving behavior based on massive traffic data analysis

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Embodiment

[0076] Example: as figure 1As shown in the figure, a method for analyzing safe driving behavior of vehicles based on the analysis of massive traffic data, the present invention takes GPS data of floating vehicles as an example, and uses data mining methods such as clustering, fitting and regression to analyze the massive traffic data of large-scale vehicles. The abnormal acceleration / deceleration behavior, abnormal turning behavior, non-intersection turning behavior, and abnormal high-speed behavior of the vehicle are compared with the driving behavior parameter of the current vehicle and the driving behavior parameter benchmark threshold to judge the unsafe behavior, and perform statistical scoring, and then calculate The total score of driving safety behavior, and then based on the total score of driving safety behavior, the driving safety behavior of drivers and vehicles is ranked. The driving behavior parameters may include vehicle speed, acceleration, azimuth angle differ...

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Abstract

The present invention relates to a vehicle safety driving behavior analysis method based on the analysis of mass traffic data. The present invention aims at the mass traffic data of a wide range of vehicles, uses data mining methods such as clustering, fitting and regression to calculate the behavior judgment and score of the vehicle, and then Based on the behavior score, the driving safety behavior of drivers and vehicles is ranked, which has the characteristics of wide application, large amount of data, and high accuracy. The data source of the present invention can be the GPS track data of specific groups such as taxis, large trucks, logistics vehicles, two-passenger and one-dangerous vehicles, etc., and can also be the GPS track data generated by all social vehicles equipped with GPS equipment. wide range.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a method for analyzing safe driving behavior of vehicles based on analysis of massive traffic data. Background technique [0002] With the development of social economy and the improvement of people's living standards, more and more people use motor vehicles as travel tools, which also brings many problems and hidden dangers to road traffic safety. Due to the surge in the number of drivers, the driving skills and driving behavior of drivers are uneven. Some people are unskilled in driving due to their short driving experience, while some people have a certain period of driving experience, but they drive in their own way. These are potential traffic accidents. factor. Therefore, analyzing the driving safety behavior of drivers has great social significance for road traffic safety. [0003] On the other hand, as we all know, insurance companies will charge different insurance...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0112G08G1/0129G08G1/123
Inventor 李建元李万清张迪温晓岳王辉张标标张文广
Owner ENJOYOR COMPANY LIMITED