Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 2
Proc. Int. Cartogr. Assoc., 2, 146, 2019
https://doi.org/10.5194/ica-proc-2-146-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 2, 146, 2019
https://doi.org/10.5194/ica-proc-2-146-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  10 Jul 2019

10 Jul 2019

Automatic Selection Method of Urban Road Network Considering Structural Characteristics

Wei Wu1 and Zhaoting Ma2 Wei Wu and Zhaoting Ma
  • 1College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  • 2Chinese Academy of Surveying and Mapping, Beijing 100830, China

Keywords: large scale, road network generalization, automatic selection, structural characteristics

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.

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