Project description
Data analytics and modelling for innovative air mobility
Within the next decade, innovative air mobility (IAM) services enabled by electric unmanned aerial vehicles are expected to become part of the European mobility ecosystem. IAM services will contribute to improving passenger experience, enhancing the efficiency and minimising the environmental impact of transport operations. The goal of the EU-funded PRIAM project is to develop a data analytics and modelling toolset that supports the integration of IAM into multimodal regional transport networks across Europe. Taking advantage of the vast amounts of data generated by the digitalisation of transport systems, PRIAM will elucidate passenger preferences and needs for regional travel, anticipate IAM adoption, plan resilient IAM infrastructure networks, and optimise IAM services, setting the path for the large-scale deployment of IAM services across Europe.
Objective
PRIAMs vision is that, within the next decade, regional-scale IAM services will be part of the European MaaS ecosystem, helping address regional connectivity challenges. Decisions on IAM will be supported by digital twins, powered by mobility data spaces and AI tools. IAM services will create sustainable value for aviation, while improving passenger experience, boosting capacity, enhancing efficiency and minimising environmental impacts. The general objective of PRIAM is to develop a data analytics and modelling toolset that supports a passenger-centric integration of IAM into multimodal regional transport networks across Europe. The PRIAM Solution will help understand passenger needs for regional travel, anticipate IAM adoption and use patterns, plan resilient IAM infrastructure networks that are seamlessly connected with other transport modes and optimise IAM service performance taking advantage of multimodal data sharing and passenger information systems. The specific objectives of PRIAM are (i) define an impact assessment framework for regional IAM services that evaluates how different IAM vehicular concepts and business models address regional connectivity challenges and passenger needs; (ii) develop and validate a concept outline for PRIAM, consisting in a data analytics and modelling SESAR Solution for planning the integration of IAM infrastructure and services into regional multimodal transport networks; (iii) evaluate the capabilities of PRIAM through a set of case studies in European regions that show how the PRIAM Solution can help IAM regional-scale services improve passenger experience, capacity, environmental sustainability, and operational and cost efficiency; and (iv) derive a set of recommendations for the implementation of regional IAM services, based on a cost-benefit analysis that anticipates the impacts of a large-scale deployment of IAM services across Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksdata networks
- natural sciencesbiological sciencesecologyecosystems
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Keywords
Programme(s)
- HORIZON.2.5 - Climate, Energy and Mobility Main Programme
Funding Scheme
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinator
28020 Madrid
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.