Flight Rerouting Path Planning Based on Artificial Potential Field and Genetic Algorithm

Xing Long Wang; Hui Li; Fei Wang

doi:10.4028/www.scientific.net/AMM.182-183.1413

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183Flight Rerouting Path Planning Based on Artificial...

Flight Rerouting Path Planning Based on Artificial Potential Field and Genetic Algorithm

Abstract:

Severe weather is a threat to flight safety and the main reason for delays. Rerouting strategy can effectively avoid severe weather, and rerouting path planning is a key issue of rerouting strategy. Aiming at the free flight, an improved artificial potential field model was used to generate a single flight rerouting path. Then genetic algorithm was used to select the best flight path from multiple paths. Finally, a numerical example was carried out and the relevant parameters were analyzed. The results show that the artificial potential field and genetic algorithm can achieve optimum rerouting path, and the relevant parameter values must be in a certain range to get the optimum solution.

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Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

1413-1417

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.1413

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Online since:

June 2012

Authors:

Xing Long Wang, Hui Li, Fei Wang

Keywords:

Artificial Potential Field (APF), Genetic Algorithm (GA), Path Planning, Reroute

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