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A light-propagation model for aircraft trajectory planning

Author

Listed:
  • Nourelhouda Dougui
  • Daniel Delahaye
  • Stéphane Puechmorel
  • Marcel Mongeau

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

Suggested Citation

  • Nourelhouda Dougui & Daniel Delahaye & Stéphane Puechmorel & Marcel Mongeau, 2013. "A light-propagation model for aircraft trajectory planning," Journal of Global Optimization, Springer, vol. 56(3), pages 873-895, July.
    • Handle: RePEc:spr:jglopt:v:56:y:2013:i:3:p:873-895
    DOI: 10.1007/s10898-012-9896-1
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    Citations

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    Cited by:

    1. Yong Tian & Lili Wan & Bojia Ye & Runze Yin & Dawei Xing, 2019. "Optimization Method for Reducing the Air Pollutant Emission and Aviation Noise of Arrival in Terminal Area," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    2. Peyronne, Clément & Conn, Andrew R. & Mongeau, Marcel & Delahaye, Daniel, 2015. "Solving air traffic conflict problems via local continuous optimization," European Journal of Operational Research, Elsevier, vol. 241(2), pages 502-512.
    3. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.

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