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Potential global jamming transition in aviation networks.

Takahiro Ezaki1, Katsuhiro Nishinari2

  • 1Department of Aeronautics and Astronautics, Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

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Summary

Local airport congestion can cause global air traffic jams. This study models aviation networks to understand how ground congestion impacts takeoff rates and system performance, revealing critical insights for air traffic management.

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Area of Science:

  • Operations Research
  • Network Science
  • Aerospace Engineering

Background:

  • Airport performance is often hindered by ground congestion, leading to inefficient aircraft configurations.
  • Surface congestion directly impacts the takeoff rate from an airport.

Purpose of the Study:

  • To propose a nonlinear transport model for aviation networks.
  • To investigate the relationship between ground congestion and takeoff rates.
  • To analyze the impact of local congestion on the global aviation system.

Main Methods:

  • Development of a nonlinear transport model.
  • Simulations conducted on a United States airport network.
  • Analytical study of the jamming transition mechanism and system dynamics.

Main Results:

  • A global jamming transition was identified, triggered by local surface congestion.
  • The study quantifies the deterioration of airport performance due to ground congestion.
  • Aircraft distribution dynamics under congestion were analyzed.

Conclusions:

  • Understanding the takeoff rate-congestion relationship is crucial for efficient air traffic operations.
  • The proposed model provides a framework for analyzing and mitigating congestion in aviation networks.
  • Local congestion management is essential for maintaining global air traffic flow and efficiency.