Paper
5 November 2008 Research on modeling the overpasses for mapping and navigation
Min Deng, Lifan Fei
Author Affiliations +
Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71442L (2008) https://doi.org/10.1117/12.812842
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
With the rapid development of current mapping and navigation industry, and transportation network data becoming multi-model and multi-dimensional, research on modeling the overpasses for mapping and navigation becomes a tough issue. Though there are various road network models, their traditional road network structures do not solve the problem well. After analyzing the benefit and deficiency of existent strategies of expanding on the traditional node-arc model and raster based method to solve the planar network problem, this paper proposes a data model with three level structures. If the scope of road network is larger, such as district or country, its network topology can be expressed in LOD1, based on centerline, and its organization is similar to before-mentioned arc-node method. But for the navigation management or traffic flow analysis, the three-level network topology need to be expressed in LOD2, based on carriageway, and add attributes to some special nodes, such as the overpasses intersection. If the network is for high-level, real-world traffic management, its topology need to be expressed in LOD3, based on lane. Lastly, a method of integrating GDF with the proposed model is given.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Deng and Lifan Fei "Research on modeling the overpasses for mapping and navigation", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71442L (5 November 2008); https://doi.org/10.1117/12.812842
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KEYWORDS
Data modeling

Roads

Associative arrays

Geographic information systems

Network architectures

Raster graphics

Systems modeling

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