INTEGRATING DYNAMIC DATA AND SENSORS WITH SEMANTIC 3D CITY MODELS IN THE CONTEXT OF SMART CITIES
Smart cities provide effective integration of human, physical and digital systems operating in the built environment. The advancements in city and landscape models, sensor web technologies, and simulation methods play a significant role in city analyses and improving quality of life of citizens and...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-10-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W1/31/2016/isprs-annals-IV-2-W1-31-2016.pdf |
| Summary: | Smart cities provide effective integration of human, physical and digital systems operating in the built environment. The advancements
in city and landscape models, sensor web technologies, and simulation methods play a significant role in city analyses and improving
quality of life of citizens and governance of cities. Semantic 3D city models can provide substantial benefits and can become a central
information backbone for smart city infrastructures. However, current generation semantic 3D city models are static in nature and do not
support dynamic properties and sensor observations. In this paper, we propose a new concept called Dynamizer allowing to represent
highly dynamic data and providing a method for injecting dynamic variations of city object properties into the static representation.
The approach also provides direct capability to model complex patterns based on statistics and general rules and also, real-time sensor
observations. The concept is implemented as an Application Domain Extension for the CityGML standard. However, it could also be
applied to other GML-based application schemas including the European INSPIRE data themes and national standards for topography
and cadasters like the British Ordnance Survey Mastermap or the German cadaster standard ALKIS. |
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| ISSN: | 2194-9042 2194-9050 |