To fully unlock the potential of UAS applications and ensure their scalability in congested and constrained airspace, a step-change to the autonomy levels of the ecosystem enabling them is critical, particularly in the areas of deconfliction management and dynamic capacity management.
This is particularly important to enable new business models such as on-demand multi-modal transport for Urban Air Mobility (UAM), or to develop Regional Air Mobility (RAM) exploiting traditional modes offering fast and flexible transport, such as seaplanes.
These on-demand services could enhance transport (passenger and cargo) not only within cities (urban mobility) but also between cities (inter-city, inter-island connections) at shorter ranges or less popular routes not currently served by commercial airliners. Increased aircraft autonomy and automated decision-making in fleet and airspace capacity management are supported by implementing Artificial Intelligence (AI) methods.
This objective will be achieved by developing several enabling technologies targeting both the air and the ground side. In addition, the project aims to develop innovative business models that can exploit the above-mentioned technologies and a platform which will be used by relevant stakeholders and end-users to evaluate the impact of both the technologies and the business models.
Di-PEGASUS specific objectives are:
To develop digital technologies that enable fully autonomous cost-effective and environmentally friendly aircraft operations in low altitude airspace.
To develop digital technologies that enable cost-effective and environmentally friendly aircraft ground operations.
To develop a tool that can be used for impact and cost-benefit analysis of future innovative technologies starting from the early development phases.
To develop business models that, by leveraging on the innovative above technologies developed, can unlock their full potential.
