DT-aCoGo
Recipes for Digital Twinning as Common Good
The Digital Twin as a Common Good (DT-aCoGo) project, led by the city of s-Hertogenbosch, with a total budget of 2.6 million euros in the EU Data Space for Smart Communities call, is successfully complete. Together with the cities of Tampere, Rotterdam and the Future Insight company the consortium has deployed a full Urban Data Space for the Digital Twin Pipeline. In the pilot the consortium has trialed ‘recipes’ for mitigation-scenarios for heat stress, flood risk management and traffic congestion reduction for Climate Adaptive Urban Design.
The dataspace also implemented a connection with the Ecliplse dataspace connector, making it possible to share data with other dataspaces using open standards. Finaly the integration of the dataspace was extended making is posing to do change basic model settings and start model calculations as a user, simply using the Unreal viewer.
The integrated approach optimizes city planning and leads to emission reduction, minimize disruptions for citizens and improve the livability and social fabric of cities. The project enhanced the connection between and scalability of locally developed digital twins. To this end, a uniform approach is established in the form of ‘recipe-templates’ that can be replicated across European Cities. Recipes also enable stakeholders to develop scenarios themselves and still secure a required level of quality.
The project brought together multi-disciplinary stakeholders from leading European cities and companies deploying a common vision for intelligent and sustainable urban transformation. The challenges involved were characterized by a strong interconnectedness of systems, on different geographical scales. Digital Twinning helped to get a grip on these inherently complex and multidisciplinary dependencies and enables efficient multi-stakeholder decision making.
To this end public and private data from a variety of sources is shared in an Urban Data Space. This cross-domain Data Space facilitates combined calculations of Models based on different trust frameworks, creating interoperability between all component. The required data-transactions that follow are operationalized through the use of Digital Twin Recipe-templates.
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