Research projects

Check out the international projects we are part of

2021 – 2023

InPercept aims to develop enabling technologies that allow autonomous vehicles to operate with higher levels of efficiency and safety. These technologies will help the vehicles to detect obstacles and adverse conditions and to react accordingly.

2021 - 2023

The overall objective of SHAPEMOV is to develop a simulation platform for shared mobility systems to support operators and authorities in their decision-making processes. The project aims to facilitate the planning and management of these services, as well as the design of regulatory frameworks by the competent authorities.

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.

2020 - 2022

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.

2016 - 2018

INTUIT explored the potential of a variety of visual analytics and machine learning techniques to improve our understanding of the trade-offs between Air Traffic Management 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.