Road condition analysis method based on meshing of visual space conversion

Abstract

The invention relates to a road condition analysis method based on meshing of visual space conversion. A quadrangular road area is determined in a traffic video image; an image where the road area is positioned is processed, and a binary image of moving objects is obtained; visual space conversion based meshing is carried out on the quadrangular road area to divide the area into four small quadrangles; and in the meshed road area, the traffic road condition is analyzed by combining the binary image of the moving objects. The method can meet requirements for accuracy and timeliness in road condition analysis application, and is highly practical.

Description

technical field [0001] The invention relates to the field of road condition analysis, in particular to a road condition analysis method based on visual-space conversion gridding. Background technique [0002] With the rapid development of economy and society, the urban areas of many cities in my country have gradually expanded, road construction has continued to increase, and travel vehicles have continued to increase. Urban traffic has entered a stage of rapid development. However, many cities generally encounter the problem of urban traffic congestion in the process of development, and solving urban traffic congestion has become an urgent and important task for many cities. [0003] The essence of Intelligent Transportation System (ITS) is to maximize the potential of transportation infrastructure and guide a reasonable transportation industry through the comprehensive application of modern information technology such as sensing technology, signal processing technology, an...

AI Technical Summary

Problems solved by technology

During the peak traffic period, the drivers of operating vehicles will deliberately avoid some congested road sections during peak hours based on their past experience, resulting in less floating data on this road section, which does not match the actual traffic congestion situation

However, during off-peak hours, operating vehicles often park on some smooth road sections at the same time (such as waiting for passengers, preventing empty-load driving, and saving costs), resulting in a large amount of floating car data that stops on such road sections, and serious problems appear in the map road condition display. deviation

In addition, all FCD floating car data needs to go through multiple links such as collection, processing, analysis, and display, and the final display on the map often needs a delay of 5 to 7 minutes

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