Signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method

A non-motor vehicle and discrimination method technology, applied in the field of traffic management and traffic safety, can solve the problems of not being able to comprehensively analyze the factors affecting the non-motor vehicle crossing behavior, and not be able to guide the engineering practice of non-motorized illegal crossing behavior, so as to reduce the artificial traffic. The effect of participation, accurate and fair judgment, and improved judgment speed

Active Publication Date: 2013-05-08
SOUTHEAST UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

Therefore, the existing methods cannot comprehensively analyze the factors affecting non-motor vehicle crossing behavior, nor can they guide engineering practice to reduce non-motor vehicle illegal crossing behavior

Method used

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  • Signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method
  • Signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method
  • Signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method

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Embodiment

[0020] Embodiment: The present invention a kind of non-motor vehicle illegal crossing behavior automatic discrimination method of signalized intersection, its flow chart is as follows figure 1 As shown, proceed as follows:

[0021] (1) Set up two cameras at the pedestrian crossing and its vicinity at the signalized intersection. The first camera is set up at a concealed position at the pedestrian crossing to photograph the characteristics of non-motor vehicles and their crossing behavior; the second camera is set up at the signalized intersection. At the height of the intersection, take a bird's-eye view of the road traffic flow and intersection characteristics.

[0022] Through the recorded video, the relevant parameters are sorted out, and the logical diagram of the sorted parameters is as follows figure 2 shown, including the gender of the driver, the age of the driver, whether the driver wears a helmet, whether the non-motorized vehicle carries passengers, the type of no...

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Abstract

The invention discloses a signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method which comprises the following steps: (1) two cameras are set up in a pedestrian crossing and near range of the pedestrian crossing, relative parameters are arranged according to recorded videos; (2) a signalized intersection non-motor vehicle illegal cross-street behavior binary logit prediction model is built according to discrete choice analysis method, standardization is conducted to the binary logit prediction model by adopting a parameter progressive method, the result is marked; and (3) the parameter data are inputted in the binary logit prediction model and therefore signalized intersection non-motor vehicle illegal cross-street behaviors are obtained, when P is larger than 0.5, a non-motor crosses the street illegally; when P is smaller than 0.5, the non-motor does not cross the street illegally. The signalized intersection non-motor vehicle illegal cross-street behavior automatic judging method reduces artificial participation, improves judging speed, and enables the judging to be correct and fair, and meanwhile, provides theoretical foundation for intersection transformation through the factors which obviously influence signalized non-motor vehicle illegal cross-street behavior, and has practical engineering applying value.

Description

technical field [0001] The invention relates to an automatic discrimination method for illegal crossing behavior of non-motor vehicles at signalized intersections, in particular to an automatic discrimination method for illegal crossing behaviors of non-motor vehicles at signalized intersections by using a binary logit model, and belongs to the technical field of traffic management and traffic safety. Background technique [0002] Non-motorized vehicles mainly include bicycles and electric bicycles, which are important means of transportation in large cities in my country, especially the preferred means of transportation for domestic urban residents for short-distance travel. The frequent occurrence of non-motor vehicle accidents and the seriousness of accident consequences make non-motor vehicle accidents a characteristic of China's traffic accidents and a difficulty in China's traffic and traffic accidents. In 2010, there were 8,745 non-motor vehicle accidents nationwide, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
Inventor 刘攀郭延永柏璐吴瑶俞灏
Owner SOUTHEAST UNIV
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