Check out the international projects we are part of
ACCESS was a project within SESAR WPE Long Term and Innovative Research which addressed airport slot allocation from the perspective of complex adaptive systems. The project developed an agent-based model of the air transport network that was used to evaluate different market-based mechanisms for airport slot allocation.
INTUIT explored the potential of a variety of visual analytics and machine learning techniques to improve our understanding of the trade-offs between ATM KPAs, identify cause-effect relationships between performance drivers and performance indicators at different scales, and develop new decision support tools for ATM performance monitoring and management.
INSIGHT aimed to investigate how ICT, with particular focus on data science and complexity theory, can help European cities formulate and evaluate policies to stimulate a balanced economic recovery and a sustainable urban development.
TRANSIT developed a set of multimodal KPIs, mobility data analysis methods and transport simulation tools allowing the evaluation of the impact of a set of innovative intermodal transport solutions on the quality, efficiency and resilience of the door-to-door passenger journey.
IMHOTEP developed a concept of operations and a set of data analysis methods, predictive models, and decision support tools that allow information sharing, common situational awareness, and real‑time collaborative decision-making between airports and ground transport stakeholders.
ITACA sought to accelerate the development, adoption and deployment of new technologies in ATM. The project developed a new set of methodologies and tools that enabled a comprehensive assessment of policies and regulations aimed at enhancing the adoption of new technologies within ATM.
DSS4SM (Decision Support Systems For Shared Mobility) is a research project co-funded by the Madrid Regional Government and the European Regional Development Fund (ERDF). The project aimed to develop a decision support tool to help shared mobility service providers to plan and manage the operation of their services.
The project “Exploring Future UDPP Concepts through Computational Behavioural Economics” aimed at developing new modelling approaches to enable a rigorous and comprehensive study of highly flexible, advanced UDPP mechanisms.
EUNOIA sought to take advantage of the opportunities brought by smart city technologies and the most recent advances in complex systems science to develop new urban models and ICT tools empowering city governments and their citizens to design better mobility policies.