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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Systemic delay propagation in the US airport network.

Pablo Fleurquin1, José J Ramasco, Victor M Eguiluz

  • 1Instituto de Física Interdisciplinar y Sistemas Complejos IFISC-CSIC-UIB, Campus UIB, 07122 Palma de Mallorca, Spain.

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Air transportation systems face systemic instability risks due to cascading delays. Passenger and crew connectivity significantly contribute to the spread of these delays, impacting network performance.

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Area of Science:

  • Operations Research
  • Network Science
  • Transportation Engineering

Background:

  • Technologically driven transport systems, like air travel, rely on schedules and networked operations.
  • Delays originating from technical, operational, or meteorological issues can propagate and magnify across the network.
  • Assessing system performance is often benchmarked against pre-established schedules.

Purpose of the Study:

  • To investigate the performance of air transportation systems concerning delay propagation.
  • To develop metrics for quantifying network congestion levels.
  • To model the patterns of delay spreading observed in real-world data.

Main Methods:

  • Analysis of air transportation system performance data, focusing on delays.
  • Definition of novel metrics to quantify network congestion.
  • Development of a model to replicate observed delay propagation patterns.

Main Results:

  • Identified a significant risk of systemic instability in air transport, even under normal operations.
  • Quantified network congestion and delay propagation dynamics.
  • Validated a model against U.S. air transportation performance data.

Conclusions:

  • Air transportation networks exhibit inherent vulnerability to cascading delays.
  • Passenger and crew connectivity are critical internal factors driving delay propagation.
  • Understanding these dynamics is crucial for improving the resilience and efficiency of air travel.