Automatic matching method between point of interest and road network

Abstract

The invention discloses an automatic matching method between a point of interest and a road network. The road attribute correlation in points of interest and the road network are made full use of to correct system deviation between points of interest from different sources and the road network; through building a road network skeleton map and a point of interest skeleton map, a geometric pattern correspondence relation between the point of interest and the road network is dug, a point-line homonymous control point recognition problem between the point of interest and the road network is converted into a skeleton map matching problem, and automatic position deviation correction between the points of interest from different sources and the road network data is carried out based on a skeleton map crossing point matching relation. The relative position precision of each space data can be greatly improved, manual intervention is reduced, and automatic and precise matching between the point of interest and the road network is realized.

Description

technical field [0001] The invention relates to the technical field of geographic information, in particular to an automatic registration method for an interest point and a road network. Background technique [0002] With the rapid development of sensors and Internet technologies, users can participate in the release and production of geospatial data through smart terminals and open map platforms. This kind of spatial data generated by users is called crowd source geospatial data (or volunteer geographic information). . Compared with professional surveying and mapping data, crowd-sourced geospatial data is quite different in terms of geometric expression, accuracy, scale, and data quality, which leads to problems such as repeated collection of spatial data from different sources and difficulties in information sharing. In the field of navigation and mobile location services, points of interest (POI) and road networks are the main data content. Points of interest and road ne...

AI Technical Summary

Problems solved by technology

The traditional map matching method uses the location coordinates of the GPS track point and the geometric characteristics of the road network to match the track point to the corresponding road section, but the point of interest does not fall in the road area, and the map matching method cannot establish the matching relationship between the point of interest and the road network

The registration method based on road network matching uses the matching relationship of the road network to register the subordinate interest points of one road network to another road network. It is difficult to obtain reference road network data for points of interest

Related literature: Chen, B., Yuan, H., Li, Q., Lam, W.H.K., Shaw, S., and Yan, K., 2014. Map-matching algorithm for large-scale low-frequency floating cardata [J]. International Journal of Geographical Information Science, 28 (1 ):22-38; Zhang,M.,2009.Methods and implementations of road-network matching[D]:Germany:TechnicalUniversityofMunich. Existing methods cannot solve the problem of automatic identification of control points with the same name between different sources of interest points and road networks

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