Airway network control through the application of Braess' paradox

The paper explores the application of Braess’s Paradox to the optimization of air traffic networks. Building upon the model proposed earlier, it is confirmed that removing specific edges from the route structure can reduce overall flight time. However, the original static formulation limits its applicability under real-world dynamic traffic conditions. An extended framework incorporating Dynamic Traffic Assignment and robust removal methods that account for demand uncertainty are proposed. Simulation results demonstrate that eliminating certain edges consistently leads to reduced delays, even under fluctuating traffic scenarios. The developed approach offers a practical tool for strategic airspace management, enabling resilient network reconfiguration under dynamic and capacity-constrained environments.