Design and Develop of a Smart City Digital Twin with 3D Representation and User Interface for What-If Analysis

Adreani, Lorenzo; Bellini, Pierfrancesco; Fanfani, Marco; Nesi, Paolo; Pantaleo, Gianni

doi:10.1007/978-3-031-37126-4_34

Cited by 4 publications

(6 citation statements)

References 17 publications

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“…To guide both design and development of the proposed SCDT framework, a wide extension and reorganization of requirements presented in [27] is introduced in this section, following indications and needs emerged from recent literature and international forums [13], [26] where several challenges are highlighted without a clear formalization of requirements. Tables 1, 2, and 3 list the defined requirements, providing an ID, a name, and a brief description, they have been extended in the context of wide national meetings of CN MOST, and by the international forum of Tourismo Interreg, which adopted Snap4City as reference platform.…”

Section: Requirement Analysismentioning

confidence: 99%

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

Section: B Hierarchical Layered Structurementioning

confidence: 99%

“…The third layer is charged with the visualization and distribution by means of 3D engines and web applications. In order to guide any SCDT design and development, several requirements were identified in [27]. Those requirements were divided into three main groups: Data, Interactivity, and Interoperability.…”

Section: Introductionmentioning

confidence: 99%

“…The new modelling and distribution engine is based on the concept of FusionLayer offering better performance, reducing server requests and lowering client resource usage. It replaced the former architecture used in [27]. [24] and [27].…”

Section: Introductionmentioning

confidence: 99%

“…It replaced the former architecture used in [27]. [24] and [27]. They also formalize any actual needs of urban designers and decision makers.…”

Section: Introductionmentioning

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. 2024

IEEE Access

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Digital Twins are becoming fundamental tools to monitor the status of entities, predict their future evolution and simulate alternative scenarios to understand the impact of possible changes for planning and design. 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 governmental organizations, it is possible to build wide virtual reproductions of urban environments including structural data and real-time information that can undoubtfully help decision makers to face future challenges in urban development and improve the citizens' quality of life. In this paper, the Snap4City Smart City Digital Twin framework is presented, which can respond to the requirements identified in recent literature and by international forums. The proposed architecture provides an integrated solution for data gathering, indexing, computing, and information distribution, thus realizing a continuously updated digital twin of the urban environment at global and local scales for monitoring operation and planning. It addresses 3D building models, road networks, Internet of Things entities, points of interest, paths, as well as results from analytical processes for traffic density reconstruction, pollutant dispersion, predictions, and what-if analysis for assessing impact of changes, all integrated into a freely accessible interactive 3D web interface, enabling stakeholder and citizen participation to city decision processes. As case study, the digital twin of the city of Florence (Italy) is presented, including what-if analysis. 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: Requirement Analysismentioning

confidence: 99%

Section: B Hierarchical Layered Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%