Unlock instant, AI-driven research and patent intelligence for your innovation.

A traffic signal light control method and system based on visual recognition of associated intersections

A technology for traffic signal lights and associated intersections, which is applied in the field of traffic signal light control based on visual recognition of associated intersections, can solve problems such as incomplete visual information, inaccurate control, and poor control effects, and achieves good adaptability, improved efficiency, and accuracy. The effect of rational decision-making

Active Publication Date: 2020-10-02
江苏泰坦智慧科技有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a traffic signal light control method and system based on associated intersection vision. , so as to more accurately and humanize the adaptive adjustment of signal lights at target traffic intersections, thereby solving the technical problems of inaccurate control or poor control effects caused by incomplete visual information in existing control methods such as traffic signals based on vision

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A traffic signal light control method and system based on visual recognition of associated intersections
  • A traffic signal light control method and system based on visual recognition of associated intersections
  • A traffic signal light control method and system based on visual recognition of associated intersections

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] A traffic signal control method based on visual recognition of associated intersections, such as figure 1 shown, including the following steps:

[0063] (1) Acquisition of the target intersection: Obtain the map information where the target intersection is located, determine all lane information and control signals of the target intersection in each direction, and obtain the associated intersection of the target intersection; the associated intersection has a lane directly with the target intersection connected intersection. The target intersection, such as figure 2 As shown in , it is an intersection in the downtown area of ​​a certain city, and three associated intersections connected with it.

[0064] The lane information includes road length, road width, lane width, lane attributes, stop line position, intersection width, and intersection length information; the lane attributes include straight ahead, left turn, straight left turn, and U-turn.

[0065] (2) Obtai...

Embodiment 2

[0113] A system for implementing the traffic signal control method based on the visual recognition of associated intersections in an embodiment, comprising a target intersection camera, an associated intersection camera, an image data processing module, a simulation module, a decision-making module, and a signal synchronization module;

[0114] The target intersection camera is used to acquire the video stream of the target intersection and deliver it to the image processing module;

[0115] The associated intersection camera is used to obtain the video stream of the associated intersection and deliver it to the image processing module;

[0116] The image processing module is used to process the video images acquired by the target intersection camera and the associated intersection camera into an image sequence associated with the time axis, identify and identify the vehicle according to the appearance characteristics, and pass the identification result to Analog module;

[0...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a traffic signal light control method and system based on visual recognition of correlated intersections. The method includes the steps: (1) acquiring a target intersection; (2) acquiring camera video streams of the target intersection and correlated intersections, and processing the camera video streams into image sequence correlated with a time axis; (3) performing visualrecognition of the target intersection; (4) performing visual recognition of correlated intersections; (5) performing non-visual area simulation; (6) performing decision data acquisition; (7) obtaining decision control signals. The system includes a target intersection camera, a correlated intersection camera, an image data processing module, an analog module, a decision module, and a signal synchronization module. The method and system provided by the invention improve the traffic efficiency of the intersection as a whole, reduce the waiting time of the vehicle, have good adaptability, and have scalability.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and more specifically relates to a traffic signal light control method and system based on visual recognition of associated intersections. Background technique [0002] With the rapid urbanization process, the number of urban car ownership is gradually increasing, which has brought great pressure to urban traffic. The traditional static time allocation scheme based on statistical methods cannot be adaptively adjusted according to real-time traffic conditions, which may easily cause problems such as empty green lights, congestion, etc., and low traffic efficiency. In order to improve the traffic efficiency at intersections through real-time dynamic signal light control, there have been many published inventions or documents to solve this problem through various technical approaches. [0003] At present, the adaptive signal light adjustment method based on the geomagnetic induction coil i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/081G08G1/01G08G1/017
CPCG08G1/0137G08G1/0175G08G1/081
Inventor 郑龙
Owner 江苏泰坦智慧科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More