3D enabling Smart Cities
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This document discusses how 3D modeling can enable smart cities. It explains that 3D urban models created from geospatial data can be used to create smart web services based on building information. CityGML is presented as a standard for representing 3D city models and its levels of detail (LOD) are described. The document proposes using automated LOD2 CityGML modeling and linking building IDs to cadastral references. Examples of potential 3D-enabled smart city services are given like noise mapping, solar potential analysis, and routing for disabled citizens. It emphasizes the need for authoritative spatial data collection and integration from sources like sensors and crowdsourcing.
3D enabling Smart Cities
- 1. 3D enabling Smart Cities Federico Prandi (Fondazione Graphitech)
- 2. “A smart city provides interoperable, Internet- based government services that enable ubiquitous connectivity to transform key government processes, both internally across departments and employees both externally to citizens and businesses” (Al-Hader, 2009).
- 3. Cities in particular are most challenged
- 4. The challenge is to deal with the social, economic and environment consequences of this development through more effective and comprehensive land administration, supported by effective Spatial Data Infrastructures
- 5. There is an ever-increasing demand for the collection, integration, management and sharing of reliable spatial information
- 6. Gis vs. Google Earth vs. Google maps
- 9. The latest generation of 3D Urban Information Models (UIM), created from accurate urban-scale geospatial information, can be used to create smart web services based on geometric, semantic, morphological and structural information at urban scale level
- 10. Use of 3D model standard in the context of Smart Cities
- 11. Smart Cities and CityGML
- 12. LoD Described features 0 FootPrint 1 Block model w/o roof structures 2 Building model with texture and roof model 3 Detailed architecture model with external doors and windows 4 Interior model including rooms, stairs, windows, doors, furnishings... CityGML LoDs
- 13. LoD2 cityGML model, fully automated generation process. Scalable procedure extensible to the new pilot cities. Building ID related to cadastral reference further information can be related to the model. Accuracy related to the input DSM information, increasing resolution more accurate results can be achieved.
- 14. Medium Client; CityGML geometries parsing to build a data structure containing a hierarchical structure of buildings, sub- objects (roofs, walls) and geometry. Renderable geometry generation from cityGML on server side; Picking and CityGML data exploration using WFS standard
- 15. First requirement Open the Data
- 18. Several services on top of 3D Noise pollution: • punctual noise value as acquired from the crowd • averaged value as a noise map Energetic values as: • Building roof solar potential • Facade energy dissipation • Energy performance simulation Routing for diversely-able citizen Realistic 3d city model
- 19. Second requirements data collection integration
- 21. Sensors
- 22. Crowd source
- 23. The OSM model is open and extensible with new tag, furthermore many features as stairs, sidewalks and crossing are contained into the database
- 24. Source:wired.com
- 25. Thank you for your attention Contact details Federico Prandi Fondazione Graphitech Via Alla Cascata, 56/C 38123 Trento ITALY e-mail: federico.prandi@graphitech.it Web page: www.graphitech.it