Intelligent traffic control method and device for elevated road entrance ramps based on video

Abstract

The invention relates to an intelligent traffic control method for elevated road entrance ramps based on video. The method comprises the steps that acquired real-time traffic parameter information is transmitted to a background server in real time to be stored by video detection devices through data communication equipment, and is sent to an intelligent traffic control processing server through the background server; the average traffic flow density parameter of the video detection devices is calculated by the intelligent traffic control processing server, and real-time traffic running indexes of the video detection devices are extracted; the average traffic running index of all the entrance ramps is calculated, whether the average traffic running index is larger than or equal to a threshold value or not is judged, if the judgment result shows that the average traffic running index is larger than or equal to the threshold value, a portal frame descends, traffic control is carried out on the entrance ramps, and otherwise the portal frame ascends, and road passage is restored. The invention further discloses an intelligent traffic control device for the elevated road entrance ramps based on the video. The accuracy of automatically detecting traffic jam events is improved, the response speed of ramp emergency control is increased, urban traffic flow is effectively dredged, traffic jams of elevated roads are relieved, and traffic accidents are reduced.

Description

technical field [0001] The invention relates to the technical field of traffic restriction control of urban elevated entrance ramps, in particular to a video-based intelligent traffic restriction method and device for elevated entrance ramps. Background technique [0002] With the acceleration of urbanization, the number of cars has increased significantly, and the contradiction between traffic flow and road supply and demand has become increasingly prominent. The construction of urban elevated roads has greatly increased the choice of travel routes. The advantages of smoothness and speed have attracted more and more vehicles. During peak hours, the overpass becomes a high-altitude parking lot, which greatly delays the travel of the public and causes a waste of social resources. Ramp traffic restriction closing during peak hours is an effective way to solve traffic congestion. Traditional ramp traffic restriction methods are mostly carried out manually, which not only delays...

AI Technical Summary

Problems solved by technology

[0002] With the acceleration of urbanization, the number of cars has increased significantly, and the contradiction between traffic flow and road supply and demand has become increasingly prominent. The construction of urban elevated roads has greatly increased the choice of travel routes. The advantages of smoothness and speed have attracted more and more vehicles. During peak hours, the elevated road becomes a high-altitude parking lot, which greatly delays the travel of the public and causes a waste of social resources.

Ramp traffic restriction closing during peak hours is an effective way to solve traffic congestion. Traditional ramp traffic restriction methods are mostly carried out manually, which not only delays emergency response, but also wastes labor costs. Through intelligent traffic information collection technology, intelligent traffic restriction on entrance ramps is realized. It is the direction of future ramp control management development

[0003] There are various ways to collect traffic information. There are information collection methods based on fixed detection equipment, such as video detection. The disadvantage is that the information collection on the breakpoint road surface cannot know the complete traffic status of the entire road section, and there is a phenomenon of misjudgment of traffic incidents in blind spots. , the wrong judgment may lead to traffic load on the road section, resulting in stagnation; if travelers cannot control the congestion information of the elevated road in real time, they will continue to drive into the elevated road, resulting in the spread of traffic congestion on the ramp, frequent accidents, and affecting the traffic operation efficiency of the entire city

In addition, the currently used ramp limit algorithm is too blunt to set the threshold according to the change of a certain traffic parameter to control the signal, such as traffic flow, speed, density, etc., and does not comprehensively set and detect multiple parameters for comprehensive analysis and processing. The accuracy of discrimination is low, which will cause the system to misjudge the state, and the current video detection devices are monitored manually, which wastes manpower and is inefficient

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