Intersection OD (Origination and Destination) matrix estimation method based on low altitude unmanned aerial vehicle

Abstract

The invention provides an intersection OD (Origination and Destination) matrix estimation method based on a low altitude unmanned aerial vehicle. The method comprises the following steps that: firstly, establishing a video registering module to eliminate an influence caused by video image processing due to unmanned aerial vehicle jittering; secondly, arranging a radar to assist in directionally solving the direction matching problem of the interception in an image and reality, and through a channelizing scheme of extracting the intersection through a color feature detection method, comparing the channelizing scheme with a channelizing scheme in an existing record to determine a final channelizing scheme; and finally, according to the channelizing scheme, establishing the intersection OD matrix, delimiting a section extracted by each-direction flow to finish flow extraction and OD matrix filling. Through the above technical scheme, the problem that an aerial photography intersection video is difficult in matching with a practical orientation in a processing process can be solved, and the accuracy of the method is fully guaranteed. Compared with traditional road segment section flowestimation, the method guarantees the multi-flow-direction characteristic information of the intersection.

Description

technical field [0001] The invention relates to the field of traffic information collection and processing, in particular to an intersection OD matrix estimation method based on low-altitude drone video. Background technique [0002] The intersection is a key node in the operation of the road network. Due to the staggered flow of various traffic flows, a large number of conflict points have been generated. Although a special organization and operation method has been formed to allocate road rights in two dimensions of time and space, the intersection is still a Areas where traffic incidents frequently occur have become the focus and difficulty of traffic management and control. As the intersection flow is the basic parameter of the intersection operation status, accurate and complete extraction of the intersection flow is an important basis for the development of intersection management and control. In recent years, with the development of unmanned aerial vehicle (UAV), its...

AI Technical Summary

Problems solved by technology

However, because the orientation of the UAV is not fixed during the shooting process, it will be difficult to identify the actual direction of an intersection entrance in the video image during video image processing, resulting in a mismatch between the image and the actual direction. problem, the channelization information of the intersection is difficult to determine in the end

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