Strategic RVSM - benefits of utilization of additional flight levels for conflict resolution during transition to domestic RVSM

Suchkov, A.; Mondoloni, Stéphane

doi:10.1109/dasc.2002.1067910

Cited by 1 publication

(1 citation statement)

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“…Most recent researches on the increase of air traffic capacity after RVSM implementation are qualitative analysis [2]. There is no existed method of figuring the air traffic capacity in all cruising mode.…”

Section: Introductionmentioning

confidence: 99%

The research of flight route capacity in RVSM airspace based on neural network

Pan

Hua-qun

Chen

2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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Based on the qualitative analysis and research of implementing Reduce Vertical Separation Minimum (RVSM) to enhance the flight capacity in RVSM airspace all over the world, using systemic approaches that combine the qualitative analysis with ration analysis, this paper introduced mathematic description and neural network model of the air traffic issue in RVSM airspace. The mathematic description is set up to solve the super combinatorial optimization problem of air traffic capacity adjustment, and the artificial intelligence Neural Network model is set up based on air traffic flow modification as the flight level changed. It is brought forward that sorting and clustering idea combining with simulated annealing algorithm is to ameliorate time complexity. The optimal flight-level adjusting mode was obtained, which can improve the capacity of RVSM Airspace remarkably. The feasibility and validity are proved by the results of computer simulation, and it can be used to describe the fight route capacity enhancement during the RVSM implementation.

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Section: Introductionmentioning

confidence: 99%