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An aggregate stochastic programming model for air traffic flow management

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An aggregate stochastic programming model for air traffic flow management. / Andreatta, Giovanni; Dell'Olmo, Paolo; Lulli, Guglielmo.
In: European Journal of Operational Research, Vol. 215, No. 3, 16.12.2011, p. 697-704.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Andreatta, G, Dell'Olmo, P & Lulli, G 2011, 'An aggregate stochastic programming model for air traffic flow management', European Journal of Operational Research, vol. 215, no. 3, pp. 697-704. https://doi.org/10.1016/j.ejor.2011.06.028

APA

Andreatta, G., Dell'Olmo, P., & Lulli, G. (2011). An aggregate stochastic programming model for air traffic flow management. European Journal of Operational Research, 215(3), 697-704. https://doi.org/10.1016/j.ejor.2011.06.028

Vancouver

Andreatta G, Dell'Olmo P, Lulli G. An aggregate stochastic programming model for air traffic flow management. European Journal of Operational Research. 2011 Dec 16;215(3):697-704. Epub 2011 Jul 18. doi: 10.1016/j.ejor.2011.06.028

Author

Andreatta, Giovanni ; Dell'Olmo, Paolo ; Lulli, Guglielmo. / An aggregate stochastic programming model for air traffic flow management. In: European Journal of Operational Research. 2011 ; Vol. 215, No. 3. pp. 697-704.

Bibtex

@article{3ec5b433d5194f73bb654d1e6a7233a9,
title = "An aggregate stochastic programming model for air traffic flow management",
abstract = "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. ",
keywords = "ATFM model, Decision analysis, Hub and spoke operations, Stochastic programming, Strategic flow management",
author = "Giovanni Andreatta and Paolo Dell'Olmo and Guglielmo Lulli",
year = "2011",
month = dec,
day = "16",
doi = "10.1016/j.ejor.2011.06.028",
language = "English",
volume = "215",
pages = "697--704",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier Science B.V.",
number = "3",

}

RIS

TY - JOUR

T1 - An aggregate stochastic programming model for air traffic flow management

AU - Andreatta, Giovanni

AU - Dell'Olmo, Paolo

AU - Lulli, Guglielmo

PY - 2011/12/16

Y1 - 2011/12/16

N2 - 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.

AB - 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.

KW - ATFM model

KW - Decision analysis

KW - Hub and spoke operations

KW - Stochastic programming

KW - Strategic flow management

U2 - 10.1016/j.ejor.2011.06.028

DO - 10.1016/j.ejor.2011.06.028

M3 - Journal article

AN - SCOPUS:80052273420

VL - 215

SP - 697

EP - 704

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 3

ER -