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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(Ed.)The current National Airspace System (NAS) is reaching capacity due to increased air traffic, and is based on outdated pre-tactical planning.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.gitmore » « lessFree, publicly-accessible full text available August 7, 2024
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Jiang, Yushan ; Niu, Shuteng ; Zhang, Kai ; Chen, Bowen ; Xu, Chengtao ; Liu, Dahai ; Song, Houbing ( , IEEE Internet of Things Journal)
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Liu, Yongxin ; Chen, Yingjie ; Wang, Jian ; Niu, Shuteng ; Liu, Dahai ; Song, Houbing ( , 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC))
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Pugh, Nigel ; Park, Hyoshin ; Derjany, Pierrot ; Liu, Dahai ; Namilae, Sirish ( , IET Intelligent Transport Systems)