The transition to the smart grid era is associated with the creation of a meshed network of data contributors that necessitates for the transformation of the traditional top-down business model, where power system optimization relied on centralized decisions based on data silos preserved by stakeholders, to a more horizontal one in which optimization decisions are based on interconnected data assets and collective intelligence. Consequently, the need for “end-to-end” coordination between the electricity stakeholders, not only in business terms but also in exchanging information is becoming a necessity to enable the enhancement of electricity networks’ stability and resilience, while satisfying individual business process optimization targets of all stakeholders involved in the value chain. SYNERGY introduces a novel reference big data architecture and platform that leverages data, primary or secondarily related to the electricity domain, coming from diverse sources (APIs, historical data, statistics, sensors/ IoT, weather, energy markets and various other open data sources) to help electricity stakeholders to simultaneously enhance their data reach, improve their internal intelligence on electricity-related optimization functions, while getting involved in novel data (intelligence) sharing/trading models, in order to shift individual decision-making at a collective intelligence level. To this end SYNERGY will develop a highly effective a Big Energy Data Platform and AI Analytics Marketplace, accompanied by big data-enabled applications for the totality of electricity value chain stakeholders (altogether integrated in the SYNERGY Big Data-driven EaaS Framework). SYNERGY will be validated in 5 large-scale demonstrators, in Greece, Spain, Austria, Finland and Croatia involving diverse actors and data sources, heterogeneous energy assets, varied voltage levels and network conditions and spanning different climatic, demographic and cultural characteristics.

DORA project is aiming at design and establishment of an integrated information system that helps passengers to optimise travel time from an origin of the travel to the airplane at the departing airport as well as from the arrival airport to the final destination. With it, the DORA integrated information system, which will be created within the project together with necessary software platforms and end user applications, is aiming at reduction of overall time needed for a typical European air travel including necessary time needed for transport to and from the airports. To ensure this, the DORA system will provide mobile, seamless, and time optimised route recommendations for the travels to the airport and time optimised routing within the airports, leading the passengers through terminals to the right security and departure gates. The DORA will integrate all necessary real time information on disruptions in the land transport environments and on incidents in the airport terminals to provide the fastest route alternatives, ensuring the accessibility of airport and airplane at any time in accordance with individual passengers’ requirements. The DORA system will be designed in a generic way, to ensure that it can be widely adopted independently on passengers and airports locations. In the project, the DORA system will be implemented and tested in realistic environments involving cities of Berlin and Palma di Mallorca as well corresponding airports in both cities with involvement of at least 500 real end users – passengers – in the trials. To support the passengers’ route optimisation, the DORA project will investigate and design technologies for recognition of waiting queues and indoor location services in airports, which will be integrated into the DORA system and tested within the project trials.

TwinAIR aims to improve urban life by tackling the challenge of indoor air quality (IAQ) improvement by understating its complex interrelationship with external factors. This is achieved by introducing a novel set of tools for identifying sources and tracing a variety of pollutants and pathogens, for enhancing understanding of their effects and assessing their impact on health, for controlling building management systems and services in ways that mitigate part of the impacts and for helping citizens to develop better insights into pollution impacts, along with encouraging healthier, more sustainable choices. TwinAIR embraces bleeding edge innovation in urban sensing (chemical and environmental sensors), data analytics and visualisation (digital maps and real-time video analysis), smart buildings (digital twins and virtual sensors) and behavioural insights (citizen participation, gamification) to deliver a nascent solution. It is implemented across six diverse pilot sites in Europe (ES, IE, UK, SE, DE, EL) with demonstrations covering residential dwellings, public administration buildings, hospitals and schools, along with selected types of vehicles (buses, vans). TwinAIR?s toolsets will empower students and their parents, commuters, workers and residents to make more health-aware personal decisions about their everyday mobility options and use of indoor spaces, through access to insightful analytics and engaging visualisations of their data, as well as by their participation in educational events and activities. At the same time, it will provide rich evidence to transport planners, facility managers and policymakers about factors influencing IAQ and effective interventions for mitigating its effects on health and wellbeing. By democratising cutting edge innovation in sensors, digital twinning and visual analytics, TwinAIR will enable better decision-making about future mobility policies, built environment management and incentivisation of citizens. Project TwinAIR is part of the European cluster on indoor air quality and health.

The CARMONY project introduces an Interlinked Orchestration Framework for traffic management that integrates proven governance and business models, continuously refined using innovative simulation technologies with real-world traffic data. This approach aims to generate credible response plans, guidelines, and decision logics, fostering societal trust. Key stakeholders, including road operators, governments, and traffic managers, are involved from the project's inception, providing ongoing support. The framework is accessible via smartphone apps and online dashboards, aiding comprehensive traffic management decisions. It will be piloted in urban and highway areas in Spain and Luxembourg, focusing on enhancing traffic efficiency, safety, and sustainability, particularly in mixed traffic scenarios involving both manually driven and up to level 4 autonomous vehicles. Long-term simulations will demonstrate the system's impact, aiming to build trust among society and stakeholders. CARMONY anticipates significant improvements in traffic efficiency and sustainability, potentially reducing travel time and traffic jams by 10%, saving European society up to €10 billion and individuals 10-15 hours lifetime annually. In urban areas like Paris, it could reduce CO2 emissions by up to 280,000 tons annually. The CARMONY project aims to control traffic volumes via orchestrating individuals, based on optimizing traffic for everyone and focusing on individual requirements & needs, the orchestrator provides individual suggestions and leaves the final decision always to the human.