An aggregate stochastic programming model for air traffic flow management

Andreatta, Giovanni and Dell'Olmo, Paolo and Lulli, Guglielmo (2011) An aggregate stochastic programming model for air traffic flow management. European Journal of Operational Research, 215 (3). pp. 697-704. ISSN 0377-2217

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In this paper, we present an aggregate mathematical model for air traffic flow management (ATFM), a problem of great concern both in Europe and in the United States. The model extends previous approaches by simultaneously taking into account three important issues: (i) the model explicitly incorporates uncertainty in the airport capacities; (ii) it also considers the trade-off between airport arrivals and departures, which is a crucial issue in any hub airport; and (iii) it takes into account the interactions between different hubs. The level of aggregation proposed for the mathematical model allows us to solve realistic size instances with a commercial solver on a PC. Moreover it allows us to compute solutions which are perfectly consistent with the Collaborative Decision-Making (CDM) procedure in ATFM, widely adopted in the USA and which is currently receiving a lot of attention in Europe. In fact, the proposed model suggests the number of flights that should be delayed, a decision that belongs to the ATFM Authority, rather than assigning delays to individual aircraft.

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European Journal of Operational Research
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21 Oct 2015 05:02
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15 Sep 2023 00:21