The CITWIN project will rethink and reorganise our mobility systems in order to implement the 15-minute city concept in urban areas. Digitalisation is a key factor in this process, with digital twins being one of the promising technologies to be utilised. In the CITWIN project, we aim to explore this potential by developing a generic digital twin framework that allows us to model potential changes to active transport infrastructure in urban areas and evaluate their contribution towards the realisation of a 15-minute city. To make the framework applicable within the 15-minute city context, we will explicitly model and evaluate social dimensions inside the digital twin, such as the influence of the physical environment on the well-being of citizens. Two urban living labs will be established in the cities of Aarhus and Eskilstuna, and serve as a testbed for the developments within the project.
Duration: 2023 - 2027
Granted by: The DUT Partnership framework with funding from the Danish Innovation Foundation and the European Commission.
MARVEL aspires the convergence of a set of technologies in the areas of AI, analytics, multimodal perception, software engineering, HPC as part of an Edge-Fog-Cloud Computing Continuum paradigm that goes beyond traditional Big Data, conventional architectures heavily capitalizing on distributed resources and heterogeneous data sources in smart city environments, while implementing privacy preservation techniques at all data modalities and at all levels of its architecture. The ultimate aim is to support data-driven real-time application workflows and decision making in modern cities, showcasing the potential to address societal challenges very effectively, from increasing public safety and security to analysing traffic flows and traffic behaviour in the cities of Trento and Malta.
Duration: 2021 - 2023
Granted by: The European Union’s Horizon 2020 research and innovation program under Grant Agreement N°957337.
Name: COGITO. Towards minimising construction project time/cost overruns and alleviate workplace accidents, COGITO targets to a semantic and pragmatic alignment between novel data capture techniques and delivery of value-adding end-user services leveraging the power of near-real-time data for the timely detection of health & safety hazards to humans, construction quality defects as well as a constantly up-to-date workflow management in order to minimise construction project time/cost overruns and alleviate workplace accidents.
Duration: 2020 - 2023
Granted by: The European Union’s Horizon 2020 research and innovation program under Grant Agreement N°958310.
The use of advanced technology is essential for improving the construction industry by allowing for more efficient management, increased productivity, and reduction of operational waste and carbon footprint. The EU-funded BIM2TWIN project will create a Digital Building Twin (DBT) platform for construction site management using artificial intelligence (AI) and semantic linked data techniques. The platform will provide full situational insight on the as-built product and as-performed processes, which will be used and compared to the as-designed product and as-planned processes through an extensible set of construction management applications to implement a closed-loop Plan-Do-Check-Act process. The full process will rely on multiple onsite sensors for data acquisition and cross-domain analysis, and complex AI-based event processing. The DBT will offer an application programming interface allowing construction management applications to interoperate with its data/information/knowledge bases.
Duration: 2020 - 2024
Granted by: The European Union’s Horizon 2020 research and innovation program under Grant Agreement N°958398.
Increasing trust in system modelling and simulation is essential for enabling Digital Twin enriched system development, production, and operation. The ITEA3 UPSIM project aims for system simulation credibility via introducing a formal simulation quality management approach, encompassing collaboration and continuous integration for complex systems.
Duration: 2020 - 2023
Granted by: ITEA3 UPSIM Project N°19006 has been made possible by the financial contribution from national funding agencies from Germany, Netherlands, Austria, Denmark, Spain, Romania.
AgroRobottiFleet aims to improve efficiency of robots in performing agricultural task. In fleets they are tasked to collaborate and interact. This requires, on one hand, reliable communication but also safety guarantees and mechanisms to ensure they are obeyed. Peter Gorm Larsen and Lukas Esterle from Aarhus University, Department of Engineering, lead the efforts towards adjustable autonomy in agricultural robots.
Duration: 2020 - 2023
Granted by: Danish Innovation Foundation