Collaborative Methods of Resolving Road Graphic Conflicts Based on Cartographic Rules and Generalization Operations

Autor: Chuanbang Zheng, Qingsheng Guo, Lin Wang, Yuangang Liu, Jianfeng Jiang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: ISPRS International Journal of Geo-Information, Vol 13, Iss 5, p 154 (2024)
Druh dokumentu: article
ISSN: 2220-9964
DOI: 10.3390/ijgi13050154
Popis: The resolution of road graphic conflicts is a key aspect of map generalization, which involves both scale reduction and the symbolization of map features. This study proposes collaborative methods of road graphic conflict resolution considering different road characteristics. These methods consider both geometric and semantic characteristics, and they incorporate the bend characteristics of roads, the road symbol size, and road semantics. Constrained Delaunay triangulation skeleton lines are used to categorize road graphic conflicts, which are made up of four independent conflict types and four group conflict types. Based on their characteristics, three collaborative methods are designed to deal with the different types of road graphic conflicts: collaboration between deletion and the snake displacement model, collaboration between the snake displacement model and collinearity, and collaboration among simplification, smoothing, and the beam displacement model. Two types of independent conflicts can be processed using only one simple operation. This study summarizes the cartographic rules for resolving road graphic conflicts, and these are used along with geometric features to drive the collaborative methods or one simple operation presented here. The experimental results indicate that the method proposed in this study can effectively resolve road graphic conflicts.
Databáze: Directory of Open Access Journals