Research projects published on Transport & Mobility
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BAMBOO developed new methodologies and algorithms to extract travel demand information from anonymised mobile network data and to integrate such information into state-of-the-art transport simulation systems and interactive visualisation tools.
CONDUCTOR’s main goal is to design, integrate and demonstrate advanced, high-level traffic and fleet management systems that enable efficient and globally optimal transportation of passengers and goods, while ensuring seamless multimodality and interoperability.
DIGITWIN4CIUE aims to train the future leaders of a digitally transformed civil engineering sector through an international joint master’s degree programme on the application of digital twins to civil engineering and through a Centre of Excellence that accelerates the digital transformation of the civil engineering sector in Europe.
To support the design and implementation of multimodal airport access solutions, MAIA will develop a set of data analytics and modelling tools as a basis for two passenger mobility innovations: shared autonomous vehicle fleets and unmanned aerial vehicle fleets.
The PASSPORT project aimed to improve the planning and management processes for urban and interurban public transport by providing tools that enable the optimisation of transport services based on the expected behaviour of demand.
SOTERIA aims to accelerate the achievement of the Vision Zero EU goal through a holistic framework of innovative models, tools and services that enable data driven urban safety intelligence, facilitate safe travelling of vulnerable road users, and foster the safe integration of micromobility services in complex environments.
The project SYNCHROMODE aims to develop data driven ICT tools for improving the management of transport operations from a multimodal perspective and managing the overall transport network as a whole.
TravelInt has developed a suite of big data and machine learning technologies to acquire detailed information about passenger behaviour and support decision-making processes in airport planning and management.
WalkFlow aims to develop a tool for monitoring and predicting pedestrian flows by combining anonymised mobile network data and location data from mobile apps to help cities better understand pedestrian mobility and assist them in the design and implementation of new urban interventions.
SHAPEMOV aimed to develop a simulation platform for shared mobility systems to facilitate the planning and management of services by operators, as well as the design of regulatory frameworks by authorities.
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.
The main goal of SHAPE was to enhance the prediction models for shared mobility system demand and to develop new functionalities for the simulation platform of these services.
