Abstract

Abstract. Road network is one of the key elements of map, and its selection effect directly determines the quality of map generalization. In the process of automatic road network selection under a large scale, it is not only necessary to consider the connectivity and integrity of the road itself, but also necessary to take account of the network characteristics and density characteristics of the road network as a whole. However, most of the existing methods cannot take into account the coordination and maintenance of the above-mentioned features, which leads to the result that the spatial distribution characteristics are easily destroyed after the selection. So an automatic selection method of road network considering structural characteristics is proposed in this paper. Firstly, road stroke connection is generated based on road semantics, geometry and topology features, and the end arc, end stroke and end mesh is identified as the objects to be removed in the selection process. Then, road stroke connection is divided into four categories according to the association characteristics of road stroke connection, and the importance of each stroke is evaluated by length, connectivity and betweenness centrality. Finally, the importance threshold (TS) of road stroke connection and the mesh density threshold (TN) are set, and the stroke connection with the least importance is gradually removed to realize the automatic selection of road network. The reliability and superiority of this method are verified by the road topographic map (1 : 10000) test of a region in Jiangsu Province.

Highlights

  • Road network on map is the objective construction of road network connectivity and distribution in real geographical world, and is the skeleton element of map

  • Relying on the WJ-III map workstation developed by the Chinese Academy of Surveying and Mapping, the automatic selection method of road network considering structural characteristics proposed in this paper is embedded, and the reliability and superiority are verified by taking the 1:10,000 road topographic map of a certain area in Jiangsu Province as an example

  • Five new suspended roads are created in the results of this method, which are basically consistent with the results of standard maps and mesh-based road network selection methods, while the number of suspended roads created in the selection result of the stroke-based road network method is 18 times of that in this paper

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Summary

Introduction

Road network on map is the objective construction of road network connectivity and distribution in real geographical world, and is the skeleton element of map. Stroke-based selection method can effectively simulate the visual length of road in manual selection and maintain road connectivity, and at the same time, it takes into account the integrity of road targets (Yang et al, 2013; Zhou & Li, 2016), that is, it can identify primary and secondary roads This method is relatively rough in the selection of secondary roads, which results in the loss of network characteristics and local. Based on the above analysis and existing researches, this paper proposes a progressive selection method of road network in large-scale, which considers constraints such as road connectivity, road integrity, road network characteristics and local density

Related Work
Methodology
Flow chart for the method in this paper
Recognition of end features
Classification of road stroke
Experiment Data and Environment
Reliability analysis
Superiority analysis
Findings
Conclusion
Full Text
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