Research on Performance Analysis of Air Traffic Flow Management Combined Strategy Impacted by uncertainty

DOI

10.2991/hsmet-19.2019.43How to use a DOI?

Keywords

Ground Delay strategy, Miles-in-trail Strategy, Genetic algorithm, Hybrid coding

Abstract

Since the implementation performance of the composite air traffic flow management strategy is impacted by the departure time uncertainty and/or the estimated time over the enroute point, it is needed to quantitatively analyze the uncertainty impact on the composite strategy. Focused on the initial composite strategy which combines ground delay strategy and miles-in-trail restriction, the practical operation data of Sanya Control Area in the South China Sea is utilized to analyze uncertainty characterization of the departure time and the en-route flying time. Algorithm for dynamically adjusting the initial management strategy is designed and the assessment performance metrics for the composited strategy impacted under uncertainty are advanced and calculated. Then the performance is analyzed with the Monte-Carlo method.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ying Zhang
AU  - Donghui Xu
AU  - Chenfeng Guoye
AU  - Tao Wen
AU  - Yinge A
PY  - 2019/07
DA  - 2019/07
TI  - Research on Performance Analysis of Air Traffic Flow Management Combined Strategy Impacted by uncertainty
BT  - Proceedings of the 4th International Conference on Humanities Science, Management and Education Technology (HSMET 2019)
PB  - Atlantis Press
SP  - 238
EP  - 244
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-19.2019.43
DO  - 10.2991/hsmet-19.2019.43
ID  - Zhang2019/07
ER  -