A light-propagation model for aircraft trajectory planning

Nourelhouda Dougui, Daniel Delahaye, Stéphane Puechmorel and Marcel Mongeau ()

Journal of Global Optimization, 2013, vol. 56, issue 3, 873-895

Abstract: Predicted air traffic growth is expected to double the number of flights over the next 20 years. If current means of air traffic control are maintained, airspace capacity will reach its limits. The need for increasing airspace capacity motivates improved aircraft trajectory planning in 4D (space+time). In order to generate sets of conflict-free 4D trajectories, we introduce a new nature-inspired algorithm: the light propagation algorithm (LPA). This algorithm is a wavefront propagation method that yields approximate geodesic solutions (minimal-in-time solutions) for the path planning problem, in the particular case of air-traffic congestion. In simulations, LPA yields encouraging results on real-world traffic over France while satisfying the specific constraints in air-traffic management. Copyright Springer Science+Business Media, LLC. 2013

Keywords: Nature-inspired algorithm; Geodesic; Branch and bound; Aircraft conflict resolution; Air-traffic management; Light-propagation model (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10898-012-9896-1

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