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    Rights statement: This is the author’s version of a work that was accepted for publication in Transportation Research Part B: Methodological. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part B: Methodological, 117, A, 2018 DOI: 10.1016/j.trb.2018.09.009

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Incorporating Stakeholders’ priorities and preferences in 4D trajectory optimization

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Incorporating Stakeholders’ priorities and preferences in 4D trajectory optimization. / Dal Sasso, Veronica; Djeumou Fomeni, Franklin; Lulli, Guglielmo; Zografos, Konstantinos G.

In: Transportation Research Part B: Methodological, Vol. 117, No. A, 11.2018, p. 594-609.

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@article{3ddf5040bdcc4108b9669fe83b856e98,
title = "Incorporating Stakeholders{\textquoteright} priorities and preferences in 4D trajectory optimization",
abstract = "A key feature of trajectory based operations (TBO) -- a new concept developed to modernize the air traffic system -- is the inclusion of preferences and priorities of the air traffic management (ATM) stakeholders. In this paper, we present a new mathematical model to optimize flights' 4D-trajectories. This is a multi-objective binary integer programming (IP) model, which assigns a 4D-trajectory to each flight, while explicitly modeling priorities and highlighting the trade off involved with the Airspace Users (AUs) preferences. The scope of the model (to be used at pre-tactical level) is the computation of optimal 4D pre-departure trajectory for each flight to be shared or negotiated with other stakeholders and subsequently managed throughout the flight. These trajectories are obtained by minimising the deviation (delay and re-routing) from the original preferred 4D-trajectories as well as minimizing the air navigation service (ANS) charges subject to the constraints of the system. Computational results for the model are presented, which show that the proposed model has the ability to identify trade-offs between the objectives of the stakeholders of the ATM system under the TBO concept. This can therefore provide the ATM stakeholders with useful decision tools to choose a trajectory for each flight. ",
keywords = "Integer programming , Air Traffic Flow Management , Trajectory Based Operations , multi-objective optimization, 4D-Trajectories optimization , Stakeholders' priorities and preferences, Multicriteria Decision Making",
author = "{Dal Sasso}, Veronica and {Djeumou Fomeni}, Franklin and Guglielmo Lulli and Zografos, {Konstantinos G}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Transportation Research Part B: Methodological. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part B: Methodological, 117, A, 2018 DOI: 10.1016/j.trb.2018.09.009",
year = "2018",
month = nov,
doi = "10.1016/j.trb.2018.09.009",
language = "English",
volume = "117",
pages = "594--609",
journal = "Transportation Research Part B: Methodological",
issn = "0191-2615",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",
number = "A",

}

RIS

TY - JOUR

T1 - Incorporating Stakeholders’ priorities and preferences in 4D trajectory optimization

AU - Dal Sasso, Veronica

AU - Djeumou Fomeni, Franklin

AU - Lulli, Guglielmo

AU - Zografos, Konstantinos G

N1 - This is the author’s version of a work that was accepted for publication in Transportation Research Part B: Methodological. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part B: Methodological, 117, A, 2018 DOI: 10.1016/j.trb.2018.09.009

PY - 2018/11

Y1 - 2018/11

N2 - A key feature of trajectory based operations (TBO) -- a new concept developed to modernize the air traffic system -- is the inclusion of preferences and priorities of the air traffic management (ATM) stakeholders. In this paper, we present a new mathematical model to optimize flights' 4D-trajectories. This is a multi-objective binary integer programming (IP) model, which assigns a 4D-trajectory to each flight, while explicitly modeling priorities and highlighting the trade off involved with the Airspace Users (AUs) preferences. The scope of the model (to be used at pre-tactical level) is the computation of optimal 4D pre-departure trajectory for each flight to be shared or negotiated with other stakeholders and subsequently managed throughout the flight. These trajectories are obtained by minimising the deviation (delay and re-routing) from the original preferred 4D-trajectories as well as minimizing the air navigation service (ANS) charges subject to the constraints of the system. Computational results for the model are presented, which show that the proposed model has the ability to identify trade-offs between the objectives of the stakeholders of the ATM system under the TBO concept. This can therefore provide the ATM stakeholders with useful decision tools to choose a trajectory for each flight.

AB - A key feature of trajectory based operations (TBO) -- a new concept developed to modernize the air traffic system -- is the inclusion of preferences and priorities of the air traffic management (ATM) stakeholders. In this paper, we present a new mathematical model to optimize flights' 4D-trajectories. This is a multi-objective binary integer programming (IP) model, which assigns a 4D-trajectory to each flight, while explicitly modeling priorities and highlighting the trade off involved with the Airspace Users (AUs) preferences. The scope of the model (to be used at pre-tactical level) is the computation of optimal 4D pre-departure trajectory for each flight to be shared or negotiated with other stakeholders and subsequently managed throughout the flight. These trajectories are obtained by minimising the deviation (delay and re-routing) from the original preferred 4D-trajectories as well as minimizing the air navigation service (ANS) charges subject to the constraints of the system. Computational results for the model are presented, which show that the proposed model has the ability to identify trade-offs between the objectives of the stakeholders of the ATM system under the TBO concept. This can therefore provide the ATM stakeholders with useful decision tools to choose a trajectory for each flight.

KW - Integer programming

KW - Air Traffic Flow Management

KW - Trajectory Based Operations

KW - multi-objective optimization

KW - 4D-Trajectories optimization

KW - Stakeholders' priorities and preferences

KW - Multicriteria Decision Making

U2 - 10.1016/j.trb.2018.09.009

DO - 10.1016/j.trb.2018.09.009

M3 - Journal article

VL - 117

SP - 594

EP - 609

JO - Transportation Research Part B: Methodological

JF - Transportation Research Part B: Methodological

SN - 0191-2615

IS - A

ER -