Method for multi-factor automatic update of road space network

Abstract

The invention discloses a method for multi-factor automatic update of a road space network. According to the method, the limitation of global updating and manual updating is avoided, processing of only changed data is achieved, the goal of accurate and real-time dynamic updating is achieved, and a digital network model and a real network are kept consistent most efficiently. The method includes the steps of performing data preparation and pretreatment; matching changed road information with a to-be-updated network, and searching newly-increased roads and rebuilt roads; performing matching inspection on possibly matched line entities, such as inspection of four factors which are area overlaying ratio, directional included angle, Hausdorff distance and semantic consistency; performing reversal matching on an original road space network and the changed road information, and deleting abandoned road section data. According to the method, road space network update efficiency and accuracy areimproved, and the road space network automatic update reliability is greatly improved.

Description

technical field [0001] The present invention relates to the research field of computer graphics theory and linear geographic element matching technology, in particular to the automatic update technology of geometric position and attribute data of linear geographic elements, especially to a multi-factor automatic update method for road space network. Background technique [0002] With the construction of road transportation infrastructure, the road network is constantly improving. The road space network model stored in the computer is the spatio-temporal data basis for traffic analysis, network research, road network planning and management. The road network model should be continuously updated with the construction of the actual road network to ensure the consistency of the geometric data and spatial topology of the road space network model with the actual network. [0003] The collection and maintenance of road space cyberspace data is usually completed by different units ...

AI Technical Summary

Problems solved by technology

The global update method is to reprocess all data, because the existing data cannot be fully utilized, and each line of data needs to be reprocessed, which takes a long time to update the data; local update is based on the existing data to find out what has changed Partial processing, such as using manual operations to compare new and old data to find out the data that has been added, deleted, or changed. However, manual operations have a large workload, long cycle, and poor data performance.

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