AVENUE is an AI4Cities project that aimed to develop an AI-based decision support tool for designing and monitoring shared mobility regulatory frameworks oriented towards the reduction of GHG emissions.
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.
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.
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.
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.
