Multi-agent systems are trained to maximize shared cost objectives, which typically reflect
system-level efficiency. However, in the resource-constrained environments of mobility and …

Advanced air mobility (AAM) is an emerging air transportation concept that leverages new
types of aircraft, such as electric vertical take-off and landing (eVTOL) aircraft, to carry …

Proposed concepts of operations for advanced air mobility rely on private service providers
being responsible for providing air traffic management services to uncrewed aircraft such as …

The rise of advanced air mobility (AAM) is expected to become a multibillion-dollar industry
in the near future. Market-based mechanisms are touted to be an integral part of AAM …

Advanced Air Mobility (AAM) operations are expected to transform air transportation while
challenging current air traffic management practices. By introducing a novel market-based …

Urban Air Mobility (UAM) encompasses both piloted and autonomous aerial vehicles,
spanning from small unmanned aerial vehicles (UAVs) like drones to passenger-carrying …

The proliferation of advanced air mobility (AAM) flights in the form of vertical take-off and
landing aircraft (VTOL) and uncrewed aircraft systems (UAS) in the near future will require a …

We consider the problem of fair multi-agent navigation for a large group of decentralized
agents using multi-agent reinforcement learning (MARL). Previous MARL research …

In the intricate and regulated environment of the airline industry, the strategic management
of protocols has emerged as a cornerstone of operational excellence. This study delves into …