Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W1, 87-92, 2013
https://doi.org/10.5194/isprsarchives-XL-4-W1-87-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 May 2013
USING CITYGML TO DEPLOY SMART-CITY SERVICES FOR URBAN ECOSYSTEMS
F. Prandi, R. De Amicis, S. Piffer, M. Soave, S. Cadzow, E. Gonzalez Boix, and E. D'Hont Fondazione Graphitech, via alla cascata 56/C Trento, Italy
Cadzow Communications Consulting Ltd., UK
Vrije Universiteit Brussels, Artificial Intelligence Lab, BrusSense, Bruxelles, Belgium
Keywords: CityGML, 3D portrayal services, Visualization, Smart-Cities, Crowd Source Abstract. The rapid technological evolution, which is characterizing all the disciplines involved within the wide concept of smart cities, becomes a key factor to trigger true user-driven innovation. In this context 3D city models will play an increasingly important role in our daily lives and become an essential part of the modern city information infrastructure (Spatial Data Infrastructure). The goal of this paper is to introduce the i-SCOPE (interoperable Smart City services through an Open Platform for urban Ecosystems) project methodology and implementations together with key technologies and open standards. Based on interoperable 3D CityGML UIMs, the aim of i-Scope is to deliver an open platform on top of which it possible to develop, within different domains, various "smart city" services.

Moreover, in i-SCOPE different issues, transcending the mere technological domain, are being tackled, including aspects dealing with social and environmental issues. Indeed several tasks including citizen awareness, crowd source and voluntary based data collection as well as privacy issue concerning involved people should be considered.

Conference paper (PDF, 2394 KB)


Citation: Prandi, F., De Amicis, R., Piffer, S., Soave, M., Cadzow, S., Gonzalez Boix, E., and D'Hont, E.: USING CITYGML TO DEPLOY SMART-CITY SERVICES FOR URBAN ECOSYSTEMS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W1, 87-92, https://doi.org/10.5194/isprsarchives-XL-4-W1-87-2013, 2013.

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