Cristina Ceballos
(Ed.)
The current National Airspace System (NAS) is
reaching capacity due to increased air traffic, and is based
on outdated pre-tactical planning. This study proposes a more
dynamic airspace configuration (DAC) approach that could
increase throughput and accommodate fluctuating traffic, ideal
for emergencies. The proposed approach constructs the airspace
as a constraints-embedded graph, compresses its dimensions, and
applies a spectral clustering-enabled adaptive algorithm to generate
collaborative airport groups and evenly distribute workloads
among them. Under various traffic conditions, our experiments
demonstrate a 50% reduction in workload imbalances. This
research could ultimately form the basis for a recommendation
system for optimized airspace configuration. Code available at
https://github.com/KeFenge2022/GraphDAC.git
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Free, publicly-accessible full text available August 7, 2024
