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Road traffic accident risk early warning method for specific driver

A technology of accident risk and road traffic, applied in the field of traffic safety, can solve the problems of no consideration of driving groups, no specific driving group classification research, early warning, etc., to improve the level of safety production, reduce the risk of accidents, and high warning accuracy Effect

Active Publication Date: 2022-01-11
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, with the development of big data, the database of traffic big data has been very perfect, and the research on using traffic big data to predict and reduce traffic accidents has gradually attracted people's attention. There are still relatively few studies on the establishment of predictive models suitable for specific driving groups based on historical accident data of factors and environmental characteristics
Moreover, the previous road traffic accident risk warning methods did not take into account the early warning for specific driving groups, and did not carry out grading research on specific driving groups

Method used

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  • Road traffic accident risk early warning method for specific driver

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] The present invention provides a road traffic accident risk early warning method for specific driving groups, and the specific technical solutions are as follows:

[0026] S101. Collect personal characteristic data, historical traffic violation data and historical traffic accident data for specific driving groups such as bus drivers in a certain city. The source of the data can be relevant transportation companies, road traffic management departments, etc.; ...

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Abstract

The invention relates to the technical field of traffic safety, in particular to a road traffic accident risk early warning method for specific drivers. According to the method, the traffic accident early warning model is established by using historical traffic big data and integrating a plurality of factors such as people, vehicles, roads and environments, and the model can be continuously corrected through newly added traffic data in the later period, so that higher early warning precision is obtained; meanwhile, differentiation modeling research is carried out for specific drivers, and a more targeted prevention strategy can be provided. Therefore, by collecting the real-time road and environment information, the accident risk of a specific driver is warned, the accident risk of the driver can be reduced, related transportation enterprises are helped to improve the safety production level, and a traffic management department can be helped to carry out accident warning.

Description

technical field [0001] The invention relates to the technical field of traffic safety, in particular to a road traffic accident risk early warning method for specific driving groups. Background technique [0002] With the continuous development of my country's economy and society, the mileage of roads opened to traffic and the number of motor vehicles have increased, and the number of road traffic accidents has also shown an increasing trend. The traffic safety situation in my country is still very severe. At present, with the development of big data, the database of traffic big data has been very perfect, and the research on using traffic big data to predict and reduce traffic accidents has gradually attracted people's attention. There are still relatively few studies on the establishment of predictive models suitable for specific driving groups based on historical accident data of factors and environmental characteristics. Moreover, the previous road traffic accident risk...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06F16/906G06Q10/04G06Q10/06G06Q50/30
CPCG08G1/0129G08G1/0137G06Q10/04G06Q10/0635G06F16/906G06Q50/40
Inventor 殷豪林子新朱彤魏田正
Owner CHANGAN UNIV