Traffic jam area real-time detection method based on deep learning

A technology of traffic congestion and deep learning, applied in the field of deep learning, can solve the problems of slow detection speed and low detection accuracy
CN110287905AActive Publication Date: 2019-09-27ZHEJIANG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
ZHEJIANG UNIV OF TECH
Publication Date
2019-09-27

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Abstract

The invention discloses a traffic jam area real-time detection method based on deep learning. The traffic jam area real-time detection method comprises the following steps: 1, setting a camera preset position and calibrating a camera; 2, initializing a convolutional neural network model; 3, acquiring a current video frame and video frame time; 4, checking the working state of the camera; 5, performing vehicle target detection on the ROI by using a convolutional neural network model; 6, maintaining a stationary target tracking queue; 7, detecting a congestion area; and 8, congestion status reporting. The congestion detection area congestion judgment algorithm provided by the invention has relatively strong robustness to environmental changes, and realizes a real-time detection effect and relatively high congestion identification precision.
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Description

technical field

[0001] The invention relates to the technical field of deep learning, in particular to a method for real-time detection of traffic jam areas based on deep learning. Background technique

[0002] In recent years, with the popularization of automobiles, the capacity of urban roads has been insufficient, and with improper design and too many road intersections, the problem of traffic congestion has become extremely prominent. Traffic congestion will not only affect people's travel efficiency, but also Even more can cause serious traffic accident, seriously endanger people's travel safety. Therefore, it is particularly important to accurately detect and report traffic congestion in real time.

[0003] At this stage, there are mainly three solutions proposed by researchers for the traffic congestion problem. The first one is to predict congestion based on the statistical characteristics of road traffic flow, such as historical traffic volume, headway, average spe...

Claims

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