2021 - 2022
AVENUE is an AI4Cities project that proposes to develop an AI-based decision support tool for designing and monitoring shared mobility regulatory frameworks oriented towards the reduction of GHG emissions.
Research projects
Check out the international projects we are part of
2020 - 2023
AICHAIN looks for enhancing ATM systems by articulating an advanced privacy-preserving federated learning architecture in which neither the training data nor the training model need to be exposed. This will be possible thanks to the combination of two emerging technologies: FedML and Blockchain technologies.
2020 - 2022
TRANSIT looks for developing 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.
2020 - 2022
IMHOTEP aims to develop 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.
2020 - 2022
ITACA seeks to accelerate the development, adoption and deployment of new technologies in ATM. It will develop a new set of methodologies and tools enabling a comprehensive assessment of policies and regulations aimed at amplifying the uptake of new technologies within ATM.
2019 - 2022
MOMENTUM aims 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.
2019 - 2021
Big Data for Public Transport aims to develop 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.
2019 - 2021
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 aims to develop a decision support tool to help shared mobility service providers to plan and manage the operation of their services.
2016 - 2018
BigData4ATM is a research project within SESAR 2020 Exploratory Research which aims to investigate 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.
2013 - 2016
INSIGHT aims 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.
2012 - 2014
EUNOIA is a research project funded under the European Union’s Seventh Framework Programme. 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.
