Feng, KeLiu, DahaiLiu, YongxinLiu, HongSong, Houbing2023-08-182023-08-182023-07-29https://doi.org/10.48550/arXiv.2307.15876http://hdl.handle.net/11603/29288The current National Airspace System (NAS) is reaching capacity due to increased air traffic, and is based on outdated pre-tactical planning.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.7 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.CC0 1.0 Universal (CC0 1.0) Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/Text