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A Prediction Model for Night Recovery of Embarked Aircrafts Based on System Dynamics.

Authors :
Liangliang Cheng
Kuizhi Yue
Zhenghao Huang
Source :
Journal of Aerospace Technology & Management. Oct-Dec2017, Vol. 9 Issue 4, p495-502. 8p.
Publication Year :
2017

Abstract

In order to make a sensible prediction on the air traffic flow management with conditions of wave-off and bolter, a system dynamic model for the night recovery operations of embarked aircrafts is built to ensure the adaption of air traffic flow with the capacity of air control at each phase of the recovery operations. The model aims at the characteristics of multiple feedbacks, delays and complex time varying, builds a stock flow diagram and operation model with impact factors of the night recovery system, and is simulated in Vensim® Personal Learning Edition 5.9. The simulation shows a reasonable prediction result for the night recovery of embarked aircrafts with conditions of bolter and wave-off and can provide a theoretical basis for scheduling the air traffic flow management of embarked aircrafts formation recovery. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19849648
Volume :
9
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Aerospace Technology & Management
Publication Type :
Academic Journal
Accession number :
126504771
Full Text :
https://doi.org/10.5028/jatm.v9i4.648