Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

Airport resource allocation using machine learning techniques

Maged Mamdouh    
Mostafa Ezzat    
Hesham A. Hefny    

Resumen

No disponible

 Artículos similares

       
 
Biao Li, Liwen Wang, Zhiwei Xing and Qian Luo    
The ever-increasing high density of flights arouses an urgent requirement to improve the effectiveness and performance of ground handling in airport operation. The implementation of coordinated airport decision-making quantifies the ground handling proce... ver más
Revista: Aerospace

 
Axel B. Classen, Christian Werner, Martin Jung     Pág. 63 - 76
Airports are intermodal hubs and natural interfaces between ground transport and air transport. In a recent DLR project, an innovative approach is being developed to extend the concept of A-CDM and TAM not only to airport landside and terminal processes ... ver más

 
Erik Grunewald, Franz Knabe, Florian Rudolph, Michael Schultz     Pág. 1146 - 1153
The limited capacity available at airports regularly leads to an imbalance between supply and demand at busier airports. It is the runway systems at such airports which often set limitations on the number of possible flight clearances. In addition, exist... ver más

 
Erik Grunewald     Pág. 3761 - 3770
The demand regulation for airport infrastructures is managed, depending on the location within the world, typically by slot allocation schemes. Slot allocation for the biggest part of the relevant airports is organized in accordance with the IATA Worldwi... ver más