Conference Proceedings
Developing a CityGML-based Graph Data Model for Utility Infrastructure in Smart Cities
Ensiyeh Javaherian Pour, Behnam Atazadeh, Abbas Rajabifard, Soheil Sabri, Saeed Al Mansoori (ed.), Navneet Kaur (ed.), Mohammad Haneef (ed.)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume X-G-2025 | ISPRS | Published : 2025
Abstract
Graph data models are essential for the development of smart cities, where interconnected systems such as utility networks, transportation, and IoT devices must function cohesively. The complexity of smart city infrastructure necessitates 3D data structures capable of managing intricate relationships, dynamic environments, and high connectivity across diverse systems. Graph data models are particularly suited for this purpose, as they offer an integrated 3D digital representation of urban complexity and interconnectivity. This study employs the Labelled Property Graph (LPG) framework to develop a 3D graph data model based on the Utility Network Application Domain Extension (ADE) of the CityG..
View full abstractRelated Projects (1)
Grants
Awarded by Australian Research Council