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Towards a Semantic 3D Model of Sofia City

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Abstract

More and more cities worldwide are working on their digital transformation in order to deliver better living environment for citizens. Over the last decades, a lot of research efforts are dedicated to development of semantic 3D city models, covering variety city dimensions based on standards such as CityGML. The complexity of cities’ processes, the heterogeneity of data they produced and different special scale requirements for planning and managing urban environment bring emerging challenges to implementation of semantic 3D city models. In order to address these challenges, this paper presents the process of development a semantic 3D model of the city of Sofia and its visual representation through a simple web application. As a pilot area, District “Vazrajdane” is selected, consisting of several neighbourhoods close to the center of the city. The 3D transformation of proprietary geospatial data into CityGML schema, covering building and terrain modules, is described. Further, the implementation of the web application for user interaction with the semantic 3D city model is presented. Its main features include silhouetting a single building on handling mouse events and showing relevant overlay content, displaying shadows and styling of buildings depending on their data attributes.

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Acknowledgement

This work has been supported by GATE project, funded by the Horizon 2020 WIDESPREAD-2018-2020 TEAMING Phase 2 programme under grant agreement no. 857155, by Operational Programme Science and Education for Smart Growth under Grant Agreement No. BG05M2OP001-1.003-0002-C01 and by the Bulgarian National Science fund under project Big4Smart agreement no. DN12/9.

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Correspondence to Dessislava Petrova-Antonova .

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Petrova-Antonova, D., Spasov, A. (2021). Towards a Semantic 3D Model of Sofia City. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12952. Springer, Cham. https://doi.org/10.1007/978-3-030-86973-1_16

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  • DOI: https://doi.org/10.1007/978-3-030-86973-1_16

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