面向室内外一体化寻径的道路网络空间感知层次建模方法
Hierarchical Modeling of Indoor and Outdoor Road Network Based on Spatial Cognition
DOI: 10.12677/GST.2018.62016, PDF,    科研立项经费支持
作者: 王行风：中国矿业大学环境测绘学院，江苏 徐州
关键词: 空间感知；拓扑关系；一体化寻径；位置服务；路网模型；Spatial Cognition； Topological Relationship； Integrated Wayfinding； Location Based Service； Route Network Model
摘要: 随着室内外定位技术的发展，室内外位置信息的融合与统一应用，成为GIS研究的热点。本文针对室内外统一寻径的这一现实问题，以室内外空间路网作为研究对象，在分析室内空间区域功能，明确室内单元类型的基础上，基于空间感知规律，构建了室内外道路网络感知分层模型，将室内外路网简化为街道、建筑物、楼层和区块四个层次路网，并分析了各层次路网的特点，以及基于数据库的各层次路网拓扑关系存储和表达。以某单位室内外路网作为分析对象，构建了四个层次的路网结构，并通过寻径计算验证了所提出模型的可行性和有效性。结果表明，该分层模型符合人们对室内外路网的经验性层次认知，能够很好地刻画路网层次特征，能满足室内外一体化寻径计算的精度和效率的要求，为室内外导航应用奠定了基础。
Abstract: With the development of indoor and outdoor positioning technology, the integration and applica-tion of indoor and outdoor location information has become one of the hot spots in GIS research. In view of integrated wayfinding of the indoor and outdoor space, this paper takes the indoor and outdoor road network as the research object. On the basis of the analyses of the functions and types of indoor units and their spatial relationships, a novel indoor and outdoor network hierarchical model (IONHM) based on spatial cognitive level has been put forward. Indoor and outdoor road network is summarized into four basic levels: street level, building level, floor level and the block level. On the basis of the characteristic of analysis of different levels, the paper realizes the topological road network of different levels based on database technology. Taking the road network of an indoor and outdoor as an example, four levels of road network structure were constructed, and the feasibility and validity of the proposed model were verified by the calculation of the wayfinding. The experimental result indicated that IONHM model fits the way of the cognition of science for people. IONHM can describe the characteristics of the network of different levels, enable the integrated wayfinding of indoor and outdoor space, and meet the demand of the precision and efficiency of pathfinding. Results from this study provide important basis for indoor and outdoor navigation.
文章引用：王行风. 面向室内外一体化寻径的道路网络空间感知层次建模方法[J]. 测绘科学技术, 2018, 6(2): 141-150. https://doi.org/10.12677/GST.2018.62016

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