Comparison of various temporal air traffic flow management models in critical scenarios

Overloads (i.e., critical imbalances between traffic demand and capacity) are currently resolved in the European air transportation network by activating flow management regulations. Flights subject to regulations delayed on ground computer assisted slot allocation system, which uses a first-planned, first-served principle allocate delays. In last decades, many researchers have proposed alternative models based more or less complex optimisation techniques, could effectively resolve overloads with delay. Despite fact that these were very promising, changing current operational system procedures - trust is supported successful working history dating back 1995–may not be realistic short term. This paper examines gradual transition from futuristic model flights assigned delays massive cherry-picking measures minimise total delay network, without necessarily adhering rule. A reference greedy representative of operations compared where Network Manager optimises using hyper-heuristics, measures, hybrid consider major only for residual overloads. These scenarios capacity issues caused adverse weather conditions. Results suggest viable option reducing minor changes paradigm.