AI Summary & Key Takeaways
AI InsightMoreover, it is seen that the total delay cost of the network with QNM, which is 280845 €, is greater than the total delay cost of the network with QNM-GH, which is 268500 €, in same case study
📌 3 Key Takeaways
Abstract
In this paper, we investigate the effect of local disturbances in European airports over the global delay characteristics of the air traffic network with and without ground holding program. First, the historical air traffic data is used for analyzing the busiest European airports. Then, network models are constructed in order to simulate balancing the demand and capacity and delay propagation across the network under disruptive events. These models, which are stochastic Queuing Network Models, are used to run in different scenarios where the capacities of airports are reduced to simulate local disturbances (e.g. heavy rain in the airport areas, air traffic controller strikes, etc.). The impact of a local capacity reduction in the airports to the European network are analyzed, and performances of these models, with and without ground holding implementation (i.e. Queuing Network Model (QNM) and Queuing Network Model with Ground Holding (QNM-GH)), are compared. It is shown that demand and capacity are in balance for both models. It is seen that the ground delay policy in QNM-GH causes to shift the delays from arrival to departure. Furthermore, it is declared that QNM-GH outperforms QNM in uncertainty reduction. Moreover, it is seen that the total delay cost of the network with QNM, which is 280845 €, is greater than the total delay cost of the network with QNM-GH, which is 268500 €, in same case study