The Digital Twin concept originates from industry and manufacturing, but today it is a widely adopted technology in all domains, including smart cities. Even though a single definition of a Digital Twin from a geospatial perspective is lacking, there is consensus that it should be based on 3D city models, containing objects with geometric and semantic information; it should have real-time sensor data; and it should integrate a variety of analyses and simulations to enable the best design and intervention decisions. By adopting Big Data and AI technologies, the city stakeholders can achieve evidence-based planning and decision-making by implementing data-driven policies. Powered by the digital twins, the smart cities can not only control their processes and manage their infrastructure more efficiently, but also simulate “what-if” scenarios and predict outcomes in real cities.


This workshop is particularly interested to attract papers that address Digital Twin issues in the smart city domain. The scope includes, but is not limited to:

  • Urban object recognition and feature extraction from remote sensing data;
  • Domain-specific data models for smart city control;
  • Parametric urban design and planning;
  • Workflows for automatic generation of urban models;
  • Algorithms and methods for urban modelling and simulation;
  • Simulated control systems in a digital twin;
  • Simulated vs. actual smart city control systems.


Dessislava Petrova-Antonova, Associate professor of Software engineering and Research group lead at GATE Institute


Anders Logg, Professor of Computational Mathematics and Director of the Digital Twin Cities Centre, Sweden.


All papers for the workshop have to be in their final form according to the IFAC Author Guide in a volume of a maximum of six pages. Please refer to the following site for more information:

Deadline for draft paper submission: 20 March 2022

Paper acceptance notification: April 30, 2022

Final paper submission: May 31, 2022