Open Geospatial Data Integration in Game Engine for Urban Digital Twin Applications

Toni Rantanen*, Arttu Julin, Juho Pekka Virtanen, Hannu Hyyppä, Matti T. Vaaja

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

23 Citations (Scopus)
164 Downloads (Pure)

Abstract

Increasing interest has recently been shown towards the digital twins of cities. These urban digital twins utilize 3D city models together with other data sources, such as open data, which can be accessed, e.g., through application programming interfaces (APIs). A large amount of open geospatial data is already available through various open data portals and APIs, such as REST and MQTT. Game engines, on the other hand, have been seen as highly potential platforms for urban digital twins, with recent development increasing the useability of geospatial data in game engines. This study explores the possibilities of game engines for urban digital twins by integrating and visualizing API-based open geospatial datasets with a 3D city model data set in a game engine environment. Three open data integration approaches are demonstrated, and the performance of these approaches is tested for urban digital twins. Based on the results, modern game engines offer a great platform for creating urban digital twin applications; however, some problems and limitations must be overcome before the use of geospatial data in game engines becomes feasible on a larger scale.

Original languageEnglish
Article number310
Number of pages22
JournalISPRS International Journal of Geo-Information
Volume12
Issue number8
DOIs
Publication statusPublished - Aug 2023
MoE publication typeA1 Journal article-refereed

Funding

This research was funded by The City of Helsinki Innovation Fund project “Helsinki Smart Digital Twin 2025”, the Academy of Finland (AoF) through the “Road Distress Mapping Combining Expertise of Sensors and Point Cloud Processing, Surveying and Road Engineering” project (decisions 323783, 323752, and 323750), the Academy of Finland project Profi5 “Autonomous systems” (No. 326246), the European Regional Development Fund (grant number A77489), and the European Union’s Digital Europe Programme under grant agreement (No. 101083680).

Keywords

  • 3D city modeling
  • 3D data visualization
  • digital twin
  • game engine
  • geospatial
  • open data
  • spatial data integration

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