Method for distinguishing traffic jam of toll plaza of highway based on video detection technology

A toll plaza and video detection technology, which is applied in traffic flow detection, character and pattern recognition, instruments, etc., can solve the problems of complex implementation, undiscovered toll plaza congestion event detection method, and high cost, so as to achieve small computing cost and reduce Potential safety hazards, the effect of a simple algorithm

Active Publication Date: 2013-10-23
SUZHOU YUNSHOU SOFTWARE TECH CO LTD
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method requires the use of image processing technology to calculate multiple parameters, which is complex and expensive, and is not conducive to real-time monitoring of road congestion events.
And in the literature published at home and abroad, there is no detection method of toll plaza congestion event based on video detection technology.

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
  • Method for distinguishing traffic jam of toll plaza of highway based on video detection technology
  • Method for distinguishing traffic jam of toll plaza of highway based on video detection technology
  • Method for distinguishing traffic jam of toll plaza of highway based on video detection technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The preferred embodiment of the present invention will be described in detail below. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the protection scope of the present invention.

[0046] See figure 1 , The method for judging traffic congestion in expressway toll plaza based on video detection technology includes the following steps:

[0047] 1) Capture the road video of the toll plaza;

[0048] 2) Extract pictures of toll plaza roads from the video and convert them from color pictures to grayscale pictures;

[0049] 3) Establish and update the background model of the picture; specifically include the following steps:

[0050] 31) Pass to N 0 A picture of a road in a toll plaza, using the average method to obtain the initial background;

[0051] 32) Set the threshold, and extract the background from the initial background through the threshold judgment;

[0052] 33) Build and update the background model with...

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 relates to the technical field of the detection of the traffic state of a road and particularly discloses a method for distinguishing the traffic jam of a toll plaza of a highway based on a video detection technology, which comprises the following steps: (1) shooting the video of the road of a toll plaza; (2) extracting the picture of the road of the toll plaza from the video; (3) establishing and updating a background model of the picture; (4) extracting a foreground image from the picture; and (5) obtaining the energy value and the absolute value of the variable quantity of the energy value of the foreground image and judging whether the road of the toll plaza is jammed or not. According to the method for distinguishing the traffic jam of the toll plaza of the highway based on the video detection technology, only the parameter of the energy value of the road needs to be obtained, and a jam distinguishing model is constructed, so that the judgment to the jam state of the toll plaza of the highway is finished. The algorithm is simple, the operation expense is little, the real-time property is strong, the problem of distinguishing the traffic jam of the toll plaza of the highway can be accurately and effectively solved, and a jam caution is also output at the time of jam, so that powerful information support is provided for a manager to master a site condition in time and make a management decision so as to reduce the potential safety hazard of pass in traffic.

Description

Technical field [0001] The invention relates to the technical field of road traffic state detection, in particular to a method for judging traffic congestion in an expressway toll plaza based on video detection technology. Background technique [0002] With the rapid development of my country's economic construction, the operating mileage of expressways has increased rapidly, the number of expressway vehicles has increased sharply, and the safety risks of expressway toll stations have also increased. The highway toll plaza is a special section where vehicles gather, and the traffic safety problem is particularly prominent. Especially during peak traffic hours, long queues of vehicles in toll plazas are congested, which affects the driving behavior of drivers in the toll plazas. Their behavior of choosing lanes with short service time intensifies traffic conflicts between vehicles, which in turn leads to traffic accidents. . Therefore, monitoring the congestion of the expressway...

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): G08G1/01G06K9/00G06K9/46
Inventor 赵敏孙棣华刘卫宁唐毅廖孝勇郑林江陈虹颖
Owner SUZHOU YUNSHOU SOFTWARE TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products