2023
DOI: 10.3390/aerospace10090780
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Discretization Method to Improve the Efficiency of Complex Airspace Operation

Daiwu Zhu,
Zehui Chen,
Xiaofan Xie
et al.

Abstract: With the increase in airspace flow, the complexity of the airspace operation environment has also increased. Against this backdrop, improving the operational efficiency of airspace is crucial to ensure its efficient operation. The discrete division of controlled airspace represents a novel methodology for achieving this end. This approach involves visualizing the use of the airspace, quantifying and evaluating the operational efficiencies of airspace environments, and assessing specific metrics during an alloc… Show more

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Cited by 3 publications
(2 citation statements)
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“…The practical use of a swarm of intelligent robots that can collectively perform a task and solve a problem is a current research problem [37][38][39], and this problem is actively being considered within the framework of the use of neural networks [40]. This is due to the high computational complexity and lack of accurate assessment models [41,42]. The potential for accidents highlights the urgent need to take effective measures to reduce the risks of m id-air collisions [43,44].…”
Section: Introductionmentioning
confidence: 99%
“…The practical use of a swarm of intelligent robots that can collectively perform a task and solve a problem is a current research problem [37][38][39], and this problem is actively being considered within the framework of the use of neural networks [40]. This is due to the high computational complexity and lack of accurate assessment models [41,42]. The potential for accidents highlights the urgent need to take effective measures to reduce the risks of m id-air collisions [43,44].…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, the requirements for the accuracy of high-speed control of aircraft generally, and unmanned vehicles in particular, have increased [10][11][12], which is particularly important for a swarm of unmanned vehicles [13][14][15]. For unmanned vehicles, AI-based learning [16,17], including large ones [18], improves control performance.…”
Section: Introductionmentioning
confidence: 99%