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Current European Air Traffic Control ATC system is far exceeded by the demand and the resulting delays are a financial and psychological burden for airlines and passengers. The Central Flow Management Unit CFMU , which is in charge of regulating the flights to respect operational en-route capacity constraints of Air Traffic Control Centres ATCC , fails to allocate efficiently departure slots and merely satisfy a weak and unrealistic modelisation of the fuzzy-stated workload constraints.
Disregarding the minimization of the sum of the delays, this paper presents new models, based on the Constraint Programming paradigm, of the slot allocation problem focused on the controllers workload: The behaviours of the different models are discussed with partial and full instances from real French air traffic data set and we show the potential operational improvement supplied by these continuous models.
French Air Traffic Control Centres ATCC capacities are far exceeded by a constant growth in air traffic demand, resulting in ever increasing flight delays.
These time and management costs are such a nuisance for all airlines and passengers that the European Commission has just released a special statement December 1st, acknowledging that current ATFM systems are unable to support high traffic loads and unscalable for the predicted growth. The Central Flow Management Unit CFMU in Brussels is in charge of reducing these congestion costs by, among many other strategic or tactical measures, delaying departure slots for the flights involved in overloaded sectors.
The purpose of delaying is to respect the en-route capacity constraints provided by each ATCC according to their daily schedule. These capacities are expressed as a number of planes per hour and used by the CFMU with 30 min periods on a first-demand first-served basis to allocate the regulated departure slots i. As the main optimization criterion is the sum of the delays, concerned flights may be very unevenly distributed over the 30 min time period so that controllers have to cope with traffic peaks when the periods start.