Road-section-pedestrian-crossing control method based on machine vision

A technology of machine vision and pedestrian crossing, applied in the control of pedestrian guide lights, traffic control system of road vehicles, traffic control system, etc., can solve the waste of road resources, difficulty in adapting to road traffic conditions, and difficulty in meeting urban traffic management, etc. problems, to achieve the effect of improving traffic capacity, alleviating traffic congestion, and alleviating traffic congestion

Active Publication Date: 2018-09-28
SHANDONG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0003] In the past, pedestrian crossing signal lights on road sections were mainly controlled by pedestrian crossing buttons. The signal timing of this method is usually a fixed mode, which is difficult to adapt to complex and changeable road traffic conditions, and is likely to cause waste of road resources.
my country's "Pedestrian Crossing Signal Light Control Setting Specification" puts forward the basis for the setting of street crossing signal lights based on pedestrian peak hour traffic. This method only considers a single specific factor for pedestrians, and the design of pedestrian crossing signal timing for road sections needs to be comprehensively considered, including pedestrians and motor vehicles. Therefore, it is difficult to meet the needs of urban traffic management only by considering a single factor

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  • Road-section-pedestrian-crossing control method based on machine vision
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  • Road-section-pedestrian-crossing control method based on machine vision

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Such as figure 1 Shown, a kind of section pedestrian crossing control method based on machine vision, the realization process of described method is as follows:

[0036] 1) Set up two surveillance cameras on the railing of the signal light, one is aimed at the pedestrian waiting area to capture pedestrian information, and the other is aimed at the road to record the actual operation status of the road; the extracted features mainly include: the number of pedestrians in the waiting area , pedestrian waiting time, road traffic flow, motor vehicle queuing length; the number of pedestrians is mainly identified and counted through the Faster-RCNN method based on deep learning, and the pedestrian waiting time needs to be calculated using the pedestrian tracking algorithm based on HOG and Haar features. The road traffic flow can be accurately detected by the optical f...

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Abstract

The invention discloses a road-section-pedestrian-crossing control method based on a machine vision, and belongs to the field of intelligent traffic safety management. The method includes the steps that firstly, related data of road-section pedestrians and motor vehicles is collected, and characteristic data such as the waiting quantity of the pedestrians, watering time of the pedestrians, road traffic flow and the queuing length of the motor vehicles is further identified and calculated; secondly, normalization processing is carried out on the basis that the longest waiting time of the pedestrians, the maximal waiting number of people, the maximal vehicle flow and the longest queuing length of the motor vehicles are set; finally, the going-through priority range is divided by determiningdifferent threshold values. When traffic conflict is generated between the road-section pedestrians and the motor vehicles, characteristic threshold values can be compared through a control center, going-through priorities of the pedestrians and the motor vehicles are reasonably distributed accordingly, and corresponding signal lamp controlling is carried out. The method is simple in design, roadtraffic conditions are obtained and analyzed in real time and comprehensively considered through the machine vision, people-vehicle conflict can be effectively reduced, and the occurrence rate of rear-end accidents of motor vehicles is decreased while the pedestrian safety is guaranteed; the method has the extremely-practical engineering application value in the aspect of traffic safety management.

Description

technical field [0001] The invention relates to a machine vision-based pedestrian crossing control method, belonging to the field of intelligent traffic safety management. Background technique [0002] Pedestrian traffic is an important part of urban traffic and one of the indispensable means of transportation for people to travel short distances. With the rapid popularization of the concept of "giving way to pedestrians" and the implementation of related punishment systems, pedestrian crossing activities on sections with pedestrian crossings have been effectively guaranteed. However, at present, rear-end collision accidents caused by "giving way to pedestrians" in many places in China have increased sharply. Due to the irregular and random characteristics of pedestrian traffic activities, coupled with the driver's untimely response during high-speed driving, the leading vehicle suddenly appears due to avoidance. When the pedestrian brakes urgently, the following vehicle do...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/005G08G1/04G08G1/08G08G1/0962
CPCG08G1/005G08G1/04G08G1/08G08G1/09623
Inventor 郭栋李恺郑春燕李春栋李明辉王娟张海
Owner SHANDONG UNIV OF TECH
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