Dynamic control of airport capacity allocation with stochastic considerations

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

Published

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Dynamic control of airport capacity allocation with stochastic considerations. / Shone, Robert ; Glazebrook, Kevin David ; Zografos, Konstantinos.
2018. Abstract from INFORMS Annual Meeting 2018, Phoenix, Arizona, United States.

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

Bibtex

@conference{ca5291bb20a84001967a11e4b1c51629,

title = "Dynamic control of airport capacity allocation with stochastic considerations",

abstract = "The ever-increasing demand for air transport services continues to put the resources of the world{\textquoteright}s busiest airports under tremendous pressure. Many optimization models have been proposed for runway scheduling, aircraft sequencing and other problems related to air traffic flow management. In this talk we discuss how to develop new approaches which explicitly take into account uncertainty caused by weather conditions and other operational factors.",

author = "Robert Shone and Glazebrook, {Kevin David} and Konstantinos Zografos",

year = "2018",

month = nov,

day = "5",

language = "English",

note = "INFORMS Annual Meeting 2018 ; Conference date: 04-11-2018 Through 07-11-2018",

url = "http://meetings2.informs.org/wordpress/phoenix2018/",

}

RIS

TY - CONF

T1 - Dynamic control of airport capacity allocation with stochastic considerations

AU - Shone, Robert

AU - Glazebrook, Kevin David

AU - Zografos, Konstantinos

PY - 2018/11/5

Y1 - 2018/11/5

N2 - The ever-increasing demand for air transport services continues to put the resources of the world’s busiest airports under tremendous pressure. Many optimization models have been proposed for runway scheduling, aircraft sequencing and other problems related to air traffic flow management. In this talk we discuss how to develop new approaches which explicitly take into account uncertainty caused by weather conditions and other operational factors.

AB - The ever-increasing demand for air transport services continues to put the resources of the world’s busiest airports under tremendous pressure. Many optimization models have been proposed for runway scheduling, aircraft sequencing and other problems related to air traffic flow management. In this talk we discuss how to develop new approaches which explicitly take into account uncertainty caused by weather conditions and other operational factors.

M3 - Abstract

T2 - INFORMS Annual Meeting 2018

Y2 - 4 November 2018 through 7 November 2018

ER -

Research

Associated organisational units