Method and device for automatically detecting tunnel traffic jam events based on video

Abstract

The invention relates to a method for automatically detecting tunnel traffic jam events based on video. The method comprises the steps that acquired real-time traffic parameter information of detection points to be detected is transmitted to a background server in real time by video detection equipment; an automatic detection processing server calculates the average traffic flow density parameter of a visible area and the dynamic traffic flow density parameter of a blind area, decision-making tree state processing is carried out on the traffic parameters of the visible area and the blind area, and the overall traffic state level of a current tunnel is judged automatically; issuing terminal equipment automatically issues the information of the traffic state level of the current tunnel to the public. The invention further discloses a device for automatically detecting the tunnel traffic jam events based on the video. The traffic parameter information of detection points of the visible area and the blind area of the tunnel are acquired in real time, traffic flow density parameters of all segments are extracted, section division is carried out according to a very smooth traffic state, a smooth traffic state, an amble traffic state, a crowd traffic state and a jam traffic state, and the tunnel road traffic jam events are automatically judged and detected.

Description

technical field [0001] The invention relates to the technical field of tunnel traffic information collection, processing and release, in particular to a video-based automatic detection method and device for tunnel traffic congestion events. Background technique [0002] The special environment of road tunnels is likely to cause congestion and traffic accidents. If the traffic police cannot obtain traffic incident information as soon as possible, they will not be able to carry out rescue work in time, which will cause road congestion to spread, reduce operational efficiency, and bring huge losses to travelers and the country. Therefore, it is of great significance to increase the construction of the tunnel traffic information collection and release system. There are various ways to collect traffic information, including information collection technology based on floating vehicles, and information collection methods based on fixed detection equipment, such as video detection. ...

AI Technical Summary

Problems solved by technology

[0003] In the existing traffic incidents, most of the methods of using video detection devices are based on a single traffic parameter, such as traffic flow, speed, density, etc., without comprehensively setting and detecting multiple parameters for comprehensive analysis and processing, but the dynamic changes of traffic phenomena are extremely complex, and it is difficult to Use a single parameter to reflect its characteristics, a single parameter setting will cause discriminative errors, and at present, when using video detection devices, video monitoring is performed manually, which wastes manpower and is inefficient

In addition, the accuracy of the tunnel traffic status discrimination algorithm directly affects the efficiency of tunnel traffic operation. The currently used video detection algorithm is too rigid to classify the traffic status by setting a threshold according to the change of a certain traffic parameter, which will cause the system to distort the status. Misjudgment; at the same time, the disadvantage of fixed point detection is that it collects information on the breakpoint road surface, and cannot know the complete traffic status of the entire road section of the tunnel. There is a phenomenon of misjudgment of traffic events in blind spots. Wrong judgment may lead to traffic load on the road section, resulting in stagnation and affecting Handling of emergency incidents causes waste of public management resources

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