Method for extracting connection path between road network nodes in picture

Abstract

The invention discloses a method for extracting a connection path between road network nodes in a picture. The method comprises three steps of data preparation, a method for determining a path searchdirection and a method for determining a path between two nodes. According to the method, the connection relation between road topological points is determined by identifying road pixel information ina picture, the topological connection relation between nodes of a road network can be identified, and a road network topological database of vectors is established, so that the blank of conversion from raster data to vector data in an urban virtual traffic system is filled up. The road network topological relation information contained in the road network picture is mined through image recognition and is output as vector data, the speed is high, the precision is high, the process of establishing a database by traffic planners can be greatly facilitated, the mode of establishing the database is increased, and the time for establishing the traffic network database is greatly shortened.

Description

technical field [0001] The invention relates to a picture recognition technology and a construction technology of a road network basic database of an urban virtual traffic system, and relates to a method for extracting connection paths between road network nodes in a picture. Background technique [0002] With the acceleration of urban transformation and upgrading in China, the urban transportation system has shifted from supply expansion to demand management. At present, my country's urban transportation system is still an immature system, and the huge vehicle base makes small disturbances cause large-scale congestion. The development of big data technology makes it possible to build an integrated analysis technology platform for urban traffic based on big data. In order to avoid the phenomenon of "referring to doctors in a hurry", virtual simulation must be carried out in advance for the transformation of the traffic system built on the super large traffic network in real...

AI Technical Summary

Problems solved by technology

The urban road traffic network can be simply abstracted into a directed graph composed of points and edges. Image recognition technology can be used to accurately extract the skeleton graph composed of pixels and road network information including points and edges, but it is impossible to obtain the location, point Important information such as the topological connection relationship between the road network and the edge makes it difficult to construct the basic database of the road network

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