Imagen de Portada

An Optimized Air Traffic Departure Sequence According to the Standard Instrument Departures

Guardado en:
Publicado en:International Journal of Advanced Computer Science and Applications vol. 15, no. 3 (2024)
Autor principal: PDF
Publicado:
Science and Information (SAI) Organization Limited
Materias:
Configuration management
Traffic congestion
Genetic algorithms
Air traffic management
Traffic planning
Critical components
Collaboration
Computer science
Optimization
Aviation
Traffic flow
Automation
Air traffic control
Efficiency
COVID-19
Aircraft
Scheduling
Infrastructure
Decision making
Air transportation industry
Airports
Air traffic controllers
Linear programming
Air travel
Airlines
Acceso en línea:Citation/Abstract
Full Text - PDF
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Resumen:Sequencing efficiently the departure traffic remains among the critical parts of air traffic management these days. It not only reduces delays and congestion at hold points, but it also enhances airport operations, improves traffic planning, and increases capacity. This research paper proposes an approach, that employs a genetic algorithm (GA), to help air traffic con-trollers in organizing a sequence for the departure traffic based on the standard instrument departures (SIDs) configuration. A scenario with Randomly assigned types, SIDs, and departure times was applied to a set of aircraft in a terminal area with a four-SID configuration to assess the performance of the suggested GA. Subsequently, a comparison with the standard method of First Come First Served (FCFS) was conducted. The testing data revealed promising results in terms of the total spent time to reach a specified altitude after takeoff.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2024.01503133
Fuente:Advanced Technologies & Aerospace Database