Research on the mission oriented mobile model of aviation network

2021 ◽  
Author(s):  
Xueli Zheng ◽  
Xinyan Yan ◽  
Kexiang Wang ◽  
Qing Zhou
Keyword(s):  
Aviation Network

Aviation Network Design in Taiwan

2004 ◽  
Vol 1888 (1) ◽  
pp. 34-41 ◽  
Author(s):  
Melody D. M. Dai ◽  
Cheng-Chang Lin ◽  
Jong Shyang Liou
Keyword(s):  
Network Design ◽  
Aviation Network

scholarly journals DEVELOPING GRAVITY MODEL FOR AIRLINE REGIONAL ROUTE MODELLING

Aviation ◽  
2016 ◽  
Vol 20 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Allan NÕMMIK ◽  
Sven KUKEMELK
Keyword(s):  
Gravity Model ◽  
Route Planning ◽  
Point Of View ◽  
Alternative Methods ◽  
Gravity Potential ◽  
Commercial Aviation ◽  
Travelling Time ◽  
Airline Network ◽  
Aviation Network ◽  
Transportation Routes

The gravity model is a method that is used by transportation researchers, airline network planners and analysts to explain how traffic is distributed between city pairs in correlation to the distance or travelling time between them, which as a result indicates the behaviour of travellers or the performance of the transport connection. How ever, the applicability of the model depends on the reliability of the results, which poses a major issue for researches. The major difficulty is to obtain comparable qualitative insights into the key parameters that are selected. This paper presents a possibility study for the use of the gravity model for regional route planning from the scientific point of view and suggests possibilities of gravity model calibration for airline network analysis including alternative methods for estimating the gravity potential of destinations and measurement of the influence of distance on the potential. The focus of the research is the ability to explain and forecast the development of regional air transportation routes in the commercial aviation network when there is a lack of recorded booking demand data.

WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network

2015 ◽  
Vol 24 (1) ◽  
pp. 55-67
Author(s):  
Lan Ma ◽  
Shaopu Ma ◽  
Zhijun Wu
Keyword(s):  
Neural Network ◽  
Situation Awareness ◽  
Traffic Management ◽  
Situational Awareness ◽  
Civil Aviation ◽  
Fast Training ◽  
Forecasting Method ◽  
High Prediction ◽  
Aviation Network ◽  
Prediction Approach

AbstractThe security of the civil aviation network is closely related to flight safety. Security situation prediction is the advanced stage of situational awareness in the civil aviation network. In this article, a prediction approach of security situations for the air traffic management network is proposed on the basis of the wavelet neural network. The proposed approach adopts the wavelet theory and neural network, combining a time-series forecasting method for the prediction of security situations in the civil aviation network. The experimental results show that this approach has the advantages of fast training and high prediction accuracy.

scholarly journals Airport Sales and its Influence on the Formation of Local Aviation Network: A Model Analysis

2002 ◽  
Vol 19 ◽  
pp. 745-750
Author(s):  
Hideyuki KITA ◽  
Hirohiko SAKATA ◽  
Keishi TANIMOTO
Keyword(s):  
Model Analysis ◽  
Aviation Network
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