Big data-based driving risk assessment method

A driving risk and risk assessment technology, applied in the field of driving risk assessment based on big data, can solve problems such as inability to accurately predict driving risk, and achieve the effect of accurate driving risk and accurate prediction

Inactive Publication Date: 2017-05-10
SIJIAN TECH CO LTD
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  • Abstract
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Problems solved by technology

[0010] In view of the above defects in the prior art, the technical problem to be solved by the present invention is to provide a

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Embodiment Construction

[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0041] In the description of the p...

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Abstract

The invention relates to the technical field of driving safety, in particular to a big data-based driving risk assessment method. The big data-based driving risk assessment method comprises the steps of performing long-term accumulation on driving risk assessment data, including risk assessment factors such as vehicle condition data of vehicles, driving behavior data of vehicle drivers, weather condition data of places in which the vehicles are located, road condition data of roads on which the vehicles are located, accident data of the vehicles and the like, of a sufficient number of vehicles; performing big data risk analysis on the risk assessment factors to obtain a relationship between each risk assessment factor and driving risk; generating a driving risk assessment model according to the relationship between each risk assessment factor and the driving risk; and finally performing risk assessment on real-time driving risk assessment data of a target vehicle by utilizing the driving risk assessment model to obtain real-time driving risk of the target vehicle. According to the technical scheme, the factors such as driving behaviors of the drivers, weather and the like are considered, so that the driving risk can be more accurately predicted in comparison with the prior art.

Description

technical field [0001] The invention relates to the technical field of driving safety, in particular to a method for evaluating driving risks based on big data. Background technique [0002] As the number of vehicles continues to increase and traffic accidents occur frequently, it is necessary to use big data to accurately predict driving risks. However, the existing driving risk early warning technology also has the following defects: [0003] 1) Failing to consider or not being able to accurately judge weather conditions; [0004] 2) The factors of road conditions are not considered or cannot be judged accurately; [0005] 3) Big data risk analysis cannot be carried out on road sections lacking RSUs, and in reality, a large number of high-risk road sections are not equipped with RSUs; [0006] 4) It is impossible to effectively judge the situation that the driver has held the driver's license for a long time but has insufficient actual driving experience; [0007] 5) I...

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/0635
Inventor 陈悦粤赵小华吴鹏段宗涛康军
Owner SIJIAN TECH CO LTD
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