Traffic congestion analysis method based on millimeter wave radar and video detection

A millimeter-wave radar and traffic congestion technology, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc., can solve problems such as difficult to understand for non-professionals, complex models, etc., to improve robustness and accuracy , improve road conditions, and improve the efficiency of citizens' travel

Active Publication Date: 2022-04-12
WUHAN UNIV
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Problems solved by technology

The above-mentioned models are relatively complex, and it is difficult for non-professionals to understand intuitively, so an intuitive, reasonable and efficient congestion analysis model is needed

Method used

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  • Traffic congestion analysis method based on millimeter wave radar and video detection
  • Traffic congestion analysis method based on millimeter wave radar and video detection
  • Traffic congestion analysis method based on millimeter wave radar and video detection

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Embodiment Construction

[0063] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0064] like figure 1 As shown, the present invention provides a traffic congestion analysis method based on millimeter wave radar and video detection, comprising the following steps:

[0065] Step 1. Use video images to obtain road information and vehicle quantity information, including the number of lanes in the field of view, the length of each lane, the number of vehicles in the field of view, and the length of each vehicle. Calculate the lane space occupancy rate based on the length of each vehicle and the length of the lane , calculate the vehicle group density by the number of lanes, the length of each lane, and the number of vehicles;

[0066] The cameras installed around the monitoring road collect vehicle image information in the field of view l, extract vehicle feature contours, calibrate the position of the vehicle...

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Abstract

The invention discloses a traffic jam analysis method based on millimeter wave radar and video detection. The present invention uses a video monitoring camera to obtain road images in the field of view, recognizes the movement of vehicles, measures data such as the number of vehicles in the field of view, lanes, etc., and uses millimeter-wave radar to detect vehicle positions and vehicle speeds, and calculates road congestion through the obtained traffic flow data Index to obtain the quantitative parameters of the degree of congestion, and then analyze the traffic congestion. The invention analyzes the degree of traffic congestion according to the traffic flow data, and evaluates the road conditions in real time, intelligently and quickly, which is beneficial to guide the evacuation of traffic jams, improve the road conditions, and improve the travel efficiency of citizens.

Description

technical field [0001] The invention belongs to the field of traffic road condition supervision, in particular to a traffic congestion analysis technology based on radar signals and machine vision. Background technique [0002] At present, there are many road traffic congestion analysis technologies based on video images at home and abroad. This technology can be divided into two parts, one is the extraction of traffic flow parameters based on video images, and the other is traffic congestion analysis based on traffic flow parameters. A lot of research has been done on the two parts at home and abroad, but there are not many studies on the combination of the two parts, and the traffic flow parameters to evaluate the degree of traffic congestion are more extracted from the video shot by the fixed traffic camera or from the coil Extraction from sensor detection equipment or computer software simulation. [0003] Based on traffic video congestion analysis, foreign research mai...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/017G08G1/04G08G1/052
CPCG08G1/0104G08G1/017G08G1/04G08G1/052
Inventor 王力行颜思睿黄玉春孟小亮陈江伟谢烁红
Owner WUHAN UNIV
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