TL;DR
This paper introduces a decentralized scheduling protocol for urban air mobility that autonomously manages aircraft separation at intersections, significantly reducing violations in simulations, with considerations for non-compliant aircraft.
Contribution
It adapts shared scheduling protocols from networking to UAM, enabling autonomous, decentralized conflict resolution without central control.
Findings
Zero separation violations in simulations under compliant conditions
Trade-offs between flight time and traffic density
Reduced violations even with some non-compliance
Abstract
Ensuring safe separation between aircraft is a critical challenge in air traffic management, particularly in urban air mobility (UAM) environments where high traffic density and low altitudes require precise control. In these environments, conflicts often arise at the intersections of flight corridors, posing significant risks. We propose a tactical separation approach leveraging shared scheduling protocols, originally designed for Ethernet networks and operating systems, to coordinate access to these intersections. Using a decentralized Markov decision process framework, the proposed approach enables aircraft to autonomously adjust their speed and timing as they navigate these critical areas, maintaining safe separation without a central controller. We evaluate the effectiveness of this approach in simulated UAM scenarios, demonstrating its ability to reduce separation violations to…
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