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Road intersection risk assessment and early warning method based on driver physiological data

A technology of physiological data and risk assessment, applied in the field of traffic safety, to achieve the effects of easy data, improved operating efficiency and safety, and strong operability

Active Publication Date: 2020-06-19
CCCC FIRST HIGHWAY CONSULTANTS +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, for the risk assessment of urban road intersections, some scholars at home and abroad have also conducted research on the correlation between driver human factors indicator monitoring methods and traffic safety. method due to characteristics, traffic-environment interactions, and dynamic changes

Method used

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  • Road intersection risk assessment and early warning method based on driver physiological data
  • Road intersection risk assessment and early warning method based on driver physiological data
  • Road intersection risk assessment and early warning method based on driver physiological data

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Embodiment Construction

[0048]Embodiments of the present invention will be described in detail below in conjunction with examples, but those skilled in the art will understand that the following examples are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention.

[0049] refer to figure 1 , the embodiment of the present invention provides a kind of urban road intersection risk assessment and early warning method based on driver's psychophysiological data, comprising the following steps:

[0050] Step 1, establish a risk assessment model for vehicles at urban intersections:

[0051]

[0052] In the formula, F represents the risk value of the vehicle at the intersection, M represents the risk matrix, P represents the risk probability of the vehicle, E represents the risk loss of the vehicle, and w j Indicates the attribute weight of the jth indicator in the vehicle risk probability model, x j Indicates the value of the jth index ...

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Abstract

The invention discloses a urban road intersection risk assessment and early warning method based on driver physiological data. The method comprises the steps of firstly establishing an urban intersection vehicle risk assessment model; then calibrating a parameter wj in the vehicle risk probability model, and determining the vehicle risk probability model corresponding to the currently implementedintersection; constructing a vehicle risk grading matrix, and calculating the risk value of the target vehicle at the currently implemented intersection; determining a target vehicle risk level according to the vehicle risk level division matrix, and determining the risk level of the currently implemented intersection; and finally, determining early warning information according to the risk levelof the currently implemented intersection, and carrying out early warning on vehicles entering the currently implemented intersection. According to the urban road intersection risk assessment and early warning method based on the driver heart physiological data, the data is easy to obtain, the model calculation is relatively convenient, the traffic risk of the urban intersection can be effectivelyassessed, early warning is issued, and the method has relatively high operability.

Description

technical field [0001] The invention relates to the technical field of traffic safety, in particular to an urban road intersection risk assessment and early warning method based on driver physiological data. Background technique [0002] With the rapid improvement of the level of urban motorization, road operating conditions are becoming more and more complex and changeable. As a key node in the traffic network, urban road intersections have the characteristics of complex traffic composition, diverse traffic behaviors, and high conflict rates. They are important factors that restrict the smoothness and safety of urban roads. Therefore, it is of great significance to conduct risk assessment and early warning method research on intersections. [0003] At present, the research methods for the safety of urban road intersections are mainly divided into two categories. One is based on linear indicators, facility conditions, historical accident data, etc., to conduct qualitative ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/0635G06Q50/26Y02T10/40
Inventor 许甜程慧婷邓涵月柯辉王佐徐金华
Owner CCCC FIRST HIGHWAY CONSULTANTS
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