Prediction method of urban road signalized intersection motor and non-motor traffic conflict number

A technology of planar signals and prediction methods, applied in the field of traffic safety, can solve problems such as incomplete traffic accident databases, and achieve the effect of improving accuracy and scientificity

Active Publication Date: 2013-05-08
SOUTHEAST UNIV
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  • Abstract
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Problems solved by technology

[0004] Purpose of the invention: for the problems and deficiencies in the above-mentioned prior art, the purpose of the invention is to provide a method for predicting the number of non-traffic conflicts at signalized intersections, so as to evaluate the safety of non-motorized vehicles at signalized intersections and overcome the The imperfection of the existing traffic accident database is more accurate and scientific than the previous manual conflict observation, which can effectively promote the application of traffic conflict technology in engineering, and also has practical engineering application value in the management and evaluation of urban road traffic safety

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  • Prediction method of urban road signalized intersection motor and non-motor traffic conflict number
  • Prediction method of urban road signalized intersection motor and non-motor traffic conflict number
  • Prediction method of urban road signalized intersection motor and non-motor traffic conflict number

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[0020] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0021] Such as image 3 As shown, the modeling process of the machine-non-traffic conflict model (i.e. the aforementioned conflict prediction model) of the present invention includes the following steps:

[0022] The first step is to collect and identify non-traffic conflicts at signalized intersections. The selected research area is within the intersection stop line, and 4 cameras cover the entire research area through high-altitude photography. In order to reduce the...

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Abstract

The invention discloses a prediction method of an urban road signalized intersection motor and non-motor traffic conflict number. Expectation value of a motor and non-motor conflict is analyzed by utilizing a plurality of motor and non-motor traffic conflicts and conflict flow of the motor and non-motor traffic conflicts as data and a generalized linear model, a traffic conflict model is built to the motor and non-motor traffic conflict, and urban road signalized intersection motor and non-motor traffic safety is evaluated. According to the prediction method of the urban road signalized intersection motor and non-motor traffic conflict number, traffic flow parameters of traffic conflicts of motor vehicles and non-motor vehicles are obtained through a traffic flow detecting device, the traffic conflict model is built, the urban road signalized intersection motor and non-motor traffic conflict is predicted, and safety evaluation is conducted to the non-motor vehicles of the urban road signalized intersection according to the predicted motor and non-motor traffic conflict number, and the defects of imperfection of a current traffic accident data base are overcome. The prediction method is more accurate and scientific compared with manual observation conflicts of the prior art, capable of promoting the traffic conflict technology to be applied in engineers, and has practical engineering applying value in the aspects of city traffic safety management and evaluation.

Description

technical field [0001] The invention belongs to the field of traffic safety, and relates to a method for predicting the number of non-traffic conflicts at level signalized intersections, in particular to a method for predicting the number of non-traffic conflicts at level signalized intersections based on a traffic conflict model, which is beneficial to level intersections Accuracy and scientificity of non-motor vehicle safety evaluation. Background technique [0002] Traffic safety research mainly relies on the accumulation of comprehensive accident statistics, and uses the expected value of traffic accidents as an indicator to study road traffic safety. However, my country has not yet established a comprehensive accident database that satisfies traffic safety research. The existing database has certain defects in accuracy and openness, which restricts the development of traffic safety research in China. Traffic conflict technology uses observed traffic conflicts as a subs...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/065
Inventor 刘攀柏璐郭延永张鑫陈昱光
Owner SOUTHEAST UNIV
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