Rendering 3D City for Smart City Digital Twin

Adreani, Lorenzo; Colombo, Carlo; Fanfani, Marco; Nesi, Paolo; Pantaleo, Gianni; Pisanu, Riccardo

doi:10.1109/smartcomp55677.2022.00046

Cited by 5 publications

(8 citation statements)

References 9 publications

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“…In the previous version of Snap4City SCDT [27] the tile loading was based on a hierarchical layered structure mainly exploiting the TileLayer of Deck.gl with some modi cations to handle speci c data needs. For example, to display the buildings at different zoom levels, we modi ed the SceneGraphLayer, nested in the TileLayer, to handle multiple different 3D models and reduce web tra c and server calls, changing the default Deck.gl behaviour.…”

Section: Hierarchical Layered Structurementioning

confidence: 99%

“…An extended set of requirements for city digital twins organized in three main groups, namely Field Interoperability, Data and Computing for Representation, and Distribution and Interaction. The proposed requirements are much wider and precise with respect to those proposed in the past in [24] and [27]. such as services (R12 and R22), LoD1/LoD3 buildings (R13.i and R13.ii), others 3D entities (R15) and dynamic cast shadows (R20).…”

Section: Introductionmentioning

confidence: 99%

“…The new modelling and distribution engine is based on the concept of FusionLayer that offers better performance reducing server requests and lowering client resource usage. It substituted the former architecture used in [27].The introduction of a wider set of new functionalities making the 3D digital twin actually interactive: (i) individual 3D building model selection and substitution; (ii) BIM (Building Information Modelling) management; (iii) road graph visualization as interactive elements; (iv) tra c ow density representation in real time as animated arrows.An in deep description of the SCDT engine and functionalities offered on top of the Snap4City smart city platform.The paper is organized as follows: Section 2 presents and discuss the related works. In Section 3 the SCDT general architecture is reported together with descriptions on data modelling, focusing on semantic modelling and Snap4City/Km4City ontology.…”

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confidence: 99%

“…In this Section, a selection of the most representative solutions is reported, to give a general context on SCDT development endeavours. Then, a deeper analysis has been conducted to assess their compliance with respect to the identi ed requirements reported in Tables 1, 2, and 3 which are a wide extension and reorganization of requirements presented in [27]. Each requirement is named and described in the tables.The identi ed requirements have been classi ed in three groups: Field Interoperability (Table 1).…”

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confidence: 99%

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Smart City Digital Twin Framework for Real-Time Multi-Data Integration and Wide Public Distribution

Adreani,

Bellini,

Fanfani

et al. 2023

Preprint

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Digital Twins are becoming fundamental tools to monitor the status of entities, predict their future evolutions, and simulate alternative scenarios to understand the impact of possible changes. More recently, Digital Twin solutions have been applied in the context of Smart Cities. Thanks to the large deployment of sensors, together with the increasing amount of information available for municipalities and government organizations, it is possible to build wide virtual reproductions of urban environments including structural data and real-time information that can undoubtfully help city councils and decision makers to face future challenges in the urban development and improve the citizen quality of life. In this paper, the Snap4City Smart City Digital Twin framework is presented, which is capable to respond to requirements identified in recent literature and by international forums. The proposed architecture provides an integrated solution for data gathering, indexing, computing, and information distribution, therefore realizing a continuously updated digital twin of the urban environment at global and local scales. It addresses 3D building models, road networks, Internet of Things entities, point of interests, paths, as well as results from analytical processes for traffic density reconstruction, pollutant dispersion, predictions, and what-if analysis with dynamic and constrained routing, all integrated into a freely accessible interactive 3D web interface, enabling stakeholder and citizens participation to the city decision processes. As case of study, the digital twin of the city of Florence (Italy) is presented. The solution is released on top of the Snap4City platform as open-source and made available through our GitHub repository (https://github.com/disit) and as Docker compose.

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Section: Hierarchical Layered Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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