12-16, 16:30–16:45 (Asia/Bangkok), Auditorium Hall 2
As the maturity of digital twin technology increases over time, there is an increasing demand to implement various services (especially those related to decision support) that utilize invisible phenomena/analysis information by visualizing various types of sensor data or the results of professional analysis/prediction together, from three-dimensional visualization using only buildings/terrain.
In particular, Korea aims to provide city-scale housing with a quality living environment, and one of the most complained about items is noise, and there is a strong desire to utilize noise prediction analysis to derive planning/design results in urban planning/design work.
In this presentation, we will introduce a digital twin system that combines 3D spatial information and noise predictive modeling using "OGC standard CityGML" and "open source mago 3DTiler and mago 3DTerrainer developed by Gaia3D" to support urban noise analysis and decision-making.
The OGC Urban Digital Twin Pilot project behind the announcement aims to develop a web-based digital twin system that integrates urban planning data and noise prediction models to support urban design and decision-making. The system leverages "the open-source mago 3DTiler and mago 3DTerrainer developed by Gaia3D" to convert the data into 3D tiles and terrain meshes, which are combined with noise modeler output and visualized in a digital twin.
This can be used to assess the compliance of urban designs with noise regulations and help develop noise abatement strategies. In the presentation, we will introduce the system and convey its potential applications for creating better urban environments.
