Driver driving risk identification method based on traffic management big data

A technology of traffic management and identification method, which is applied in the field of driver risk identification based on traffic management big data, and can solve problems such as ambiguity of driving risk, difficulty in threshold definition, and difficulty in quantification

Inactive Publication Date: 2019-07-30
SHANDONG JIAOTONG UNIV
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Problems solved by technology

[0003] Since a driver is an individual with independent physiological characteristics and complex psychological behaviors, there are certain differences in age, driving experience, driving experience, stress response, judgment ability, and behavior, which lead to the existence of factors in the study of driver's driving risk. Complicated, difficult to obtain, and difficult to quantify. At the same time, due to the fuzzy characteristics of driving risk, it is very difficult to define its threshold, which further hinders the accurate identification of the driver's driving risk.

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  • Driver driving risk identification method based on traffic management big data
  • Driver driving risk identification method based on traffic management big data

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Embodiment Construction

[0036] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0037] It should be noted that, unless otherwise specified, all technical and scientific terms used in this application have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs.

[0038] Such as figure 1 As shown, a driver's driving risk identification method based on traffic management big data includes the following steps:

[0039] 1. Determine the main factors affecting the driver's driving safety and establish a hierarchical model;

[0040] 2. Establish risk identification factor risk score;

[0041] 3. Establish a driver's driving risk level set;

[0042] 4. Realize the driver's driving risk level identification.

[0043] Fur...

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Abstract

The invention provides a driver driving risk identification method based on traffic management big data, comprising the following steps: determining main influence factors of driver driving safety, and establishing a hierarchical structure model; establishing a danger identification factor danger score; establishing a driver driving danger level set; and realizing the driver driving danger level identification. The method starts from two aspects of driver natural attributes and driving behavior results, is composed of a driver natural attribute, an accident tendency, an illegal tendency and adriving habit, is used for identifying the driving danger of the driver, overcomes the defects that the identification parameters and the driving danger are difficult to quantify and the identification accuracy is not high, and has important practical significance for improving the current situation of road traffic safety and ensuring the operation safety of a vehicle.

Description

technical field [0001] The invention relates to the technical field of road traffic safety management research, in particular to a method for identifying a driver's driving risk based on traffic management big data. Background technique [0002] Due to the immature technology of unmanned vehicles, the road traffic system will still be a complex system composed of five elements of "people-vehicle-road-management-environment" for a long time to come. Survey data show that road traffic accidents directly or indirectly caused by "human" factors account for 92.9% of the total number of accidents. In China, the traffic control department analyzed the causes of 28,000 accidents and found that up to 96.4% of road traffic accidents were closely related to drivers. Therefore, the traffic safety problem is fundamentally the driver's problem, and improving the driver's driving safety is the fundamental way to improve road traffic safety. [0003] Since the driver is an individual with...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G08G1/01G07C5/08
CPCG06Q10/0635G06Q50/26G07C5/0841G08G1/0125
Inventor 咸化彩张萌萌王帅张萌王建豪寇军营赵军学
Owner SHANDONG JIAOTONG UNIV
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