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Mathematics > Optimization and Control

arXiv:2307.15876 (math)
[Submitted on 29 Jul 2023]

Title:GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration

Authors:Ke Feng, Dahai Liu, Yongxin Liu, Hong Liu, Houbing Song
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Abstract:The current National Airspace System (NAS) is reaching capacity due to increased air traffic, and is based on outdated pre-tactical planning.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 this https URL
Comments: Acceptted for publication by IEEE IRI'23
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Multiagent Systems (cs.MA)
Cite as: arXiv:2307.15876 [math.OC]
  (or arXiv:2307.15876v1 [math.OC] for this version)
  https://doi.org/10.48550/arXiv.2307.15876

Submission history

From: Yongxin Liu [view email]
[v1] Sat, 29 Jul 2023 03:04:22 UTC (5,287 KB)
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