INTEGRATING DYNAMIC DATA and SENSORS with SEMANTIC 3D CITY MODELS in the CONTEXT of SMART CITIES

K. Chaturvedi, T. H. Kolbe

Research output: Contribution to journalConference articlepeer-review

27 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)31-38
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume4
Issue number2W1
DOIs
StatePublished - 5 Oct 2016
Event11th 3DGeoInfo Conference 2016 - Athens, Greece
Duration: 20 Oct 201621 Oct 2016

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