Check out the international projects we are part of
MOMENTUM aimed at developing a set of new data analysis methods, transport models, and planning support tools to capture the impact of new transport options on the urban mobility ecosystem, in order to support cities in the task of designing the right policy mix to exploit the full potential of these emerging mobility solutions.
BD4PT developed a new technology able to process data collected from smart payment systems and combine it with other data sources in order to analyse travel behaviour, generate mobility indicators and assist public transport authorities and operators in the planning of public transport systems.
BigData4ATM is a research project within SESAR 2020 Exploratory Research which investigated how new sources of passenger-centric data coming from smart personal devices can be analysed to extract relevant information about passengers’ behaviour and how this information can be used to inform ATM decision making processes.
BEACON studied the feasibility of extending UDPP (User-Driven Prioritisation Process) to allow multi-prioritisation processes in the airspace (e.g. encompassing departure slots, regulation slots, arrival manager slots), and exchange of slots between airlines.
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.
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.
