NEURAL NETWORK SYSTEM TRACKS LANDING AIRCRAFT WHEN WIND DIRECTION CHANGES
Abstract
The article describes the problem of solving important practical problems of redistribution of aircraft when landing on a different route of the Moscow air hub in the event of a sudden change of weather conditions. The neural network procedure to set priorities for each aircraft in real time based on dynamic programming is offered. This allowed us to generate lists of vessels for each trace landing and to determine their priority for landing.
About the Authors
G. N. Lebedev
Московский авиационный институт
Russian Federation
Russian Federation
V. B. Malygin
МГТУ ГА
Russian Federation
Russian Federation
References
1. Lebedev G.N., Malygin V.B., Nechayev E.E., Ting Phong Zhuo. Use of system of priority service at introduction of automated management of an arrival departure in air space of the Moscow airline hub // Nauchniy vestnik MGTU GA. 2012. No. 180. P. 254-259. (In Russian)
2. Ting Phong Zhuo. Automatization of expeditious distribution of aircrafts between routes of landing approach in the Moscow airzone at sudden change of meteoconditions // Nauchniy vestnik MAI. 2014. № 3. P. 128 -140. (In Russian)
Review
For citations:
Lebedev G.N., Malygin V.B. NEURAL NETWORK SYSTEM TRACKS LANDING AIRCRAFT WHEN WIND DIRECTION CHANGES. Civil Aviation High Technologies. 2015;(221):138-143. (In Russ.)
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