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Congestion transition in air traffic networks
Bernardo Monechi1, Vito D P Servedio2, Vittorio Loreto3
1Sapienza University of Rome, Physics Dept., Piazzale Aldo Moro 2, 00185 Roma, Italy.
Plos One
|May 21, 2015
Summary
Future air traffic growth in Europe may exceed capacity, risking safety. Simulations reveal a critical transition point where conflicts become unresolvable, highlighting the need for effective air traffic management strategies to ensure system stability.
Area of Science:
- Complex Systems Science
- Transportation Engineering
- Network Science
Background:
- Air transportation is a critical techno-social system with growing importance.
- Projected increases in European air traffic may surpass current network capacity.
- Exceeding capacity limits could compromise air traffic safety and performance.
Purpose of the Study:
- To quantify the disruptive potential of increased air traffic load using computer simulations.
- To model the air transportation system as a complex dynamical network.
- To predict the system's behavior under varying traffic densities.
Main Methods:
- Developed a complex dynamical network model of air transportation, incorporating human flight control and conflict resolution.
- Validated the model using historical European airspace flight schedule data.
- Simulated increased traffic load to observe system dynamics and identify critical thresholds.
Main Results:
- The model accurately reproduces real-world air transportation statistics, including delay distributions.
- Simulations predict a phase transition from manageable to unmanageable conflicts as traffic load increases.
- Current flight densities are below this transition threshold, especially with re-routing procedures.
Conclusions:
- The study provides a flexible simulation tool for analyzing and managing air transportation systems.
- The identified congestion transition point is dependent on conflict-solving strategies.
- Understanding these dynamics is crucial for maintaining safety and efficiency in future air traffic management.
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