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Critical Flights Detected with Time Windows

Authors: CASTELLI, LORENZO; Corolli L.; Lulli G.;

Critical Flights Detected with Time Windows

Abstract

Airlines need to pay special attention to flights that may be liable to produce undesired downstream effects if subjected to delay. A mathematical formulation is proposed to identify these critical flights by defining a set of temporal intervals, called time window, which must be met during the flight execution. The width of the time window is variable because it reflects all known constraints on runway capacities or on congested en route sectors that the flight will go through, or both. The set of optimal time window that maximizes their overall width was chosen, thus providing airline operators with the largest degree of flexibility to perform their flights. Three possible approaches are presented to compute the utilization of the system capacity. By means of a computational analysis, it is shown that the solution of the time window model is insensitive about the formulation used for the capacity constraints.

Countries
United Kingdom, Italy, Italy, Italy
Keywords

Air Transport, Operations Research, 330, Air Traffic Management, Time Window, Airline, Air Traffic Management; Time Window; Air Transport; Airlines; Operations Research, Air transportation, 620

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average
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