תמונות העטיפה

Comparative Analysis of Scenario-Adaptive Control Algorithms for Arrival and Departure Operations in Multi-Airport Systems

שמור ב:
הוצא לאור ב:Aerospace vol. 12, no. 12 (2025), p. 1102-1121
מחבר ראשי: Jiang Furong
מחברים אחרים: Lu, Tingting, Zhang Zhaoning
יצא לאור:
MDPI AG
נושאים:
Federal Aviation Administration > FAA
Traffic
Airports
Control algorithms
Flight time
Global optimization
Optimization
Airline scheduling
Air transportation industry
Aviation
Algorithms
Traffic flow
Adaptive control
Waypoints
Local optimization
Real time
Ant colony optimization
Efficiency
Comparative analysis
Adaptive algorithms
Transportation terminals
גישה מקוונת:Citation/Abstract
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Resumen:To address the insufficient evaluation of scenario adaptability in the coordinated control of shared waypoints within multi-airport systems, this study proposes two optimization strategies: the Multi-Waypoint Rolling Horizon Control (MWRHC) and the Multi-Waypoint Ant Colony Optimization (MWACO) algorithms. A systematic comparison of their applicability and control performance is conducted. Using empirical data from peak-hour operations in the Yangtze River Delta multi-airport system, the applicability and optimization effectiveness of both algorithms in arrival–departure sequencing are evaluated. The metric “Average Flight Time Improvement” is introduced to quantify and compare the performance of different airports during the optimization process, thereby revealing the operational characteristics of MWRHC and MWACO under varying traffic conditions. The results demonstrate that the MWACO algorithm exhibits superior global optimization capability in high-traffic airport environments, whereas the MWRHC algorithm performs better in local optimization and real-time scheduling under moderate traffic conditions.
ISSN:2226-4310
DOI:10.3390/aerospace12121102
Fuente:Advanced Technologies & Aerospace Database