Road section pedestrian street-crossing sensing control method based on number of pedestrians to cross street

Abstract

The invention discloses a road section pedestrian street-crossing sensing control method based on the number of pedestrians to cross a street. The method comprises the following steps of: (1) acquiring control threshold information; (2) acquiring a video image in real time and extracting the information about the number of the pedestrians to cross the street; and (3) judging, and controlling switching of signal lights. By adoption of the road section pedestrian street-crossing sensing control method, the actual traffic condition in urban and rural road environments is fully considered, the pedestrians to cross the street serve as top-priority objects, the information about the number of the pedestrians to cross a sidewalk is acquired by computer vision detection, and the signal lights are switched according to the information, so that the pedestrians can safely cross the street, time and space resources of road traffic are reasonably excavated, and the traffic operating efficiency in the urban and rural road environments is effectively improved. Compared with the prior art for vehicle identification and pedestrian identification, the method has the advantages of high detection identification accuracy rate and high control reliability.

Description

technical field [0001] The invention belongs to the technical field of traffic control, and in particular relates to a pedestrian crossing induction control method on a road section based on the number of people waiting to pass. Background technique [0002] Traffic lights are an important component of urban traffic systems. It has played an irreplaceable role in ensuring traffic safety and regulating vehicle behavior. Although there are high-speed ring roads in large cities in my country, which eliminates some traffic lights, traffic lights are still one of the main means of regulating the behavior of various vehicles in ordinary streets and intersections. In order to more effectively stop various traffic violations, there are often various cameras that cooperate with supervision at intersections and certain important parts of the street, mainly used to capture illegal vehicle behavior, record license plate information, etc.; it can be said that in surveillance Computer v...

AI Technical Summary

Problems solved by technology

The traditional control method for pedestrian crossings on road sections is generally to formulate a timing control plan based on the historical pedestrian traffic volume or control experience of the road section. This control method is more suitable when the traffic volume changes relatively stable, and it is difficult to adapt to the traffic when the pedestrian flow changes greatly. It will waste precious traffic resources and affect the efficiency of traffic operation

[0004] The Chinese patent with the application number 201010121624.0 discloses an adaptive intelligent traffic light and its control method, which uses a camera to obtain video images of roads in all directions, extracts information from the images, and calculates traffic lights according to the density of vehicles waiting in line and the number of pedestrians waiting to cross the street. Density, switching control of traffic lights; its control strategy is only suitable for urban road environments where the traffic flow is roughly equal to the flow of people and there are many intersections; for urban and rural road environments where the traffic flow is relatively smaller than the flow of people and there are fewer intersections However, the traffic operation efficiency of this control method is not ideal, and computer vision has a large amount of calculation and low reliability for double recognition of vehicles and pedestrians and density analysis.

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