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Tactical Optimisation for the Management of Scarce Resources at Busy Airports

Research output: Contribution to conference - Without ISBN/ISSN Abstract

Published

Standard

Tactical Optimisation for the Management of Scarce Resources at Busy Airports. / Shone, Robert; Glazebrook, Kevin David; Zografos, Konstantinos.

2017. Abstract from European Conference on Stochastic Optimization 2017, Rome, Italy.

Research output: Contribution to conference - Without ISBN/ISSN Abstract

Harvard

Shone, R, Glazebrook, KD & Zografos, K 2017, 'Tactical Optimisation for the Management of Scarce Resources at Busy Airports', European Conference on Stochastic Optimization 2017, Rome, Italy, 20/09/17 - 22/09/17.

APA

Shone, R., Glazebrook, K. D., & Zografos, K. (2017). Tactical Optimisation for the Management of Scarce Resources at Busy Airports. Abstract from European Conference on Stochastic Optimization 2017, Rome, Italy.

Vancouver

Shone R, Glazebrook KD, Zografos K. Tactical Optimisation for the Management of Scarce Resources at Busy Airports. 2017. Abstract from European Conference on Stochastic Optimization 2017, Rome, Italy.

Author

Bibtex

@conference{c511fbf793964683abae0ca567d713b2,
title = "Tactical Optimisation for the Management of Scarce Resources at Busy Airports",
abstract = "The problem of how to reduce the severity of flight delays at airports has become increasingly topical in recent years due to the relentless increase in air traffic growth which has placed the resources of many of the world{\textquoteright}s busiest airports under seemingly unsustainable pressure. Airports must find ways of adapting to the increasing demand by improving the efficiency of their operations.At a strategic level, “smoothing” of airport schedules can help to avoid longqueues of aircraft waiting to take off or land during peak periods. At a tacticallevel, airport resources can be managed dynamically in response to observed levels of congestion and weather conditions. More specifically, decisions can bemade regarding runway configurations and service priorities for departing and arriving aircraft. This talk will discuss how a hybridized queueing system formulation can be used within a stochastic dynamic programming framework in order to find an optimal policy for the dynamic control of airport resources. ",
author = "Robert Shone and Glazebrook, {Kevin David} and Konstantinos Zografos",
year = "2017",
month = sep
day = "22",
language = "English",
note = "European Conference on Stochastic Optimization 2017 ; Conference date: 20-09-2017 Through 22-09-2017",
url = "http://ecso2017.inf.uniroma3.it/index.html",

}

RIS

TY - CONF

T1 - Tactical Optimisation for the Management of Scarce Resources at Busy Airports

AU - Shone, Robert

AU - Glazebrook, Kevin David

AU - Zografos, Konstantinos

PY - 2017/9/22

Y1 - 2017/9/22

N2 - The problem of how to reduce the severity of flight delays at airports has become increasingly topical in recent years due to the relentless increase in air traffic growth which has placed the resources of many of the world’s busiest airports under seemingly unsustainable pressure. Airports must find ways of adapting to the increasing demand by improving the efficiency of their operations.At a strategic level, “smoothing” of airport schedules can help to avoid longqueues of aircraft waiting to take off or land during peak periods. At a tacticallevel, airport resources can be managed dynamically in response to observed levels of congestion and weather conditions. More specifically, decisions can bemade regarding runway configurations and service priorities for departing and arriving aircraft. This talk will discuss how a hybridized queueing system formulation can be used within a stochastic dynamic programming framework in order to find an optimal policy for the dynamic control of airport resources.

AB - The problem of how to reduce the severity of flight delays at airports has become increasingly topical in recent years due to the relentless increase in air traffic growth which has placed the resources of many of the world’s busiest airports under seemingly unsustainable pressure. Airports must find ways of adapting to the increasing demand by improving the efficiency of their operations.At a strategic level, “smoothing” of airport schedules can help to avoid longqueues of aircraft waiting to take off or land during peak periods. At a tacticallevel, airport resources can be managed dynamically in response to observed levels of congestion and weather conditions. More specifically, decisions can bemade regarding runway configurations and service priorities for departing and arriving aircraft. This talk will discuss how a hybridized queueing system formulation can be used within a stochastic dynamic programming framework in order to find an optimal policy for the dynamic control of airport resources.

M3 - Abstract

T2 - European Conference on Stochastic Optimization 2017

Y2 - 20 September 2017 through 22 September 2017

ER -