3D NETWORK ANALYSIS FOR INDOOR SPACE APPLICATIONS

Indoor space differs from outdoor environments, since it is characterized by a higher level of structural complexity, geometry, as well as topological relations. Indoor space can be considered as the most important component in a building’s conceptual modelling, on which applications such as indoor navigation, routing or analysis are performed. Therefore, the conceptual meaning of sub spaces or the activities taking place in physical building boundaries (e.g. walls), require the comprehension of the building’s indoor hierarchical structure. The scope of this paper is to perform 3D network analysis in a building’s interior and is structured as follows: In Section 1 the definition of indoor space is provided and indoor navigation requirements are analysed. Section 2 describes the processes of indoor space modeling, as well as routing applications. In Section 3, a case study is examined involving a 3D building model generated in CityEngine (exterior shell) and ArcScene (interior parts), in which the use of commercially available software tools (ArcGIS, ESRI), in terms of indoor routing and 3D network analysis, are explored. The fundamentals of performing 3D analysis with the ArcGIS Network Analyst extension were tested. Finally a geoprocessing model was presented, which was specifically designed to be used to interactively find the best route in ArcScene. The paper ends with discussion and concluding remarks on Section 4.

[1]  Efi Dimopoulou,et al.  Procedural Modeling in 3D GIS Environment , 2014, Int. J. 3 D Inf. Model..

[2]  Qing Zhu,et al.  Problems in indoor mapping and modelling , 2013 .

[3]  Cyril Ray,et al.  Spatial models for context-aware indoor navigation systems: A survey , 2012, J. Spatial Inf. Sci..

[4]  G. Sithole,et al.  Space subdivision for indoor applications , 2014 .

[5]  Markus Schneider,et al.  iNav: An Indoor Navigation Model Supporting Length-Dependent Optimal Routing , 2010, AGILE Conf..

[6]  Sisi Zlatanova,et al.  A "door-to-door" path-finding approach for indoor navigation , 2011 .

[7]  Efi Dimopoulou,et al.  TRANSFORMING 2D CADASTRAL DATA INTO A DYNAMIC SMART 3D MODEL , 2013 .

[8]  Edgar-Philipp Stoffel,et al.  Towards a Semantic Spatial Model for Pedestrian Indoor Navigation , 2007, ER Workshops.

[9]  Edgar-Philipp Stoffel,et al.  A Hybrid Spatial Model for Representing Indoor Environments , 2006, W2GIS.

[10]  Jean-Claude Thill,et al.  Traveling in the three-dimensional city: applications in route planning, accessibility assessment, location analysis and beyond , 2011 .

[11]  Hyeyoung Kim,et al.  A SDBMS-Based 2D-3D Hybrid Model for Indoor Routing , 2009, 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware.

[12]  Umit Atila,et al.  A 3D-GIS implementation for realizing 3D network analysis and routing simulation for evacuation purpose , 2013 .

[13]  Jan Oliver Wallgrün,et al.  Autonomous Construction of Hierarchical Voronoi-Based Route Graph Representations , 2004, Spatial Cognition.

[14]  Jiyeong Lee,et al.  A Spatial Access-Oriented Implementation of a 3-D GIS Topological Data Model for Urban Entities , 2004, GeoInformatica.

[15]  Sisi Zlatanova,et al.  A BIM-Oriented Model for supporting indoor navigation requirements , 2013, Comput. Environ. Urban Syst..

[16]  Gavin Brown,et al.  Modelling 3D Topographic Space Against Indoor Navigation Requirements , 2013 .

[17]  Stéphane Donikian,et al.  Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments , 2004, Comput. Graph. Forum.

[18]  Roland Geraerts,et al.  Planning short paths with clearance using explicit corridors , 2010, 2010 IEEE International Conference on Robotics and Automation.