A two-stage stochastic optimization model for air traffic conflict resolution under wind uncertainty

Adan E. Vela; Erwan Salaün; Senay Solak; Eric Feron; William Singhose; John Paul Clarke

doi:10.1109/DASC.2009.5347531

A two-stage stochastic optimization model for air traffic conflict resolution under wind uncertainty

Adan E. Vela, Erwan Salaün, Senay Solak, Eric Feron, William Singhose, John Paul Clarke

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 Scopus citations

Abstract

This paper considers the air traffic conflict resolution problem in the context of wind uncertainty. Aircraft are assigned changes in airspeed to prevent conflict. The goal is to determine the optimal maneuver to balance deviation costs (e.g., fuel costs) and the probability of conflict. A two-stage recourse model is developed, in which new airspeeds are assigned in the first stage, based on expected costs due to possible corrective actions in the second stage. The second-stage considers the expected costs for any last-minute maneuvers to compensate wind modeling errors. The resulting model is solved in real-time via numerical methods, providing optimal airspeed values for the resolution of a conflict. ©2009 IEEE.

Original language	English (US)
Title of host publication	AIAA/IEEE Digital Avionics Systems Conference - Proceedings
DOIs	https://doi.org/10.1109/DASC.2009.5347531
State	Published - Dec 1 2009
Externally published	Yes

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10.1109/DASC.2009.5347531

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title = "A two-stage stochastic optimization model for air traffic conflict resolution under wind uncertainty",

abstract = "This paper considers the air traffic conflict resolution problem in the context of wind uncertainty. Aircraft are assigned changes in airspeed to prevent conflict. The goal is to determine the optimal maneuver to balance deviation costs (e.g., fuel costs) and the probability of conflict. A two-stage recourse model is developed, in which new airspeeds are assigned in the first stage, based on expected costs due to possible corrective actions in the second stage. The second-stage considers the expected costs for any last-minute maneuvers to compensate wind modeling errors. The resulting model is solved in real-time via numerical methods, providing optimal airspeed values for the resolution of a conflict. {\textcopyright}2009 IEEE.",

author = "Vela, {Adan E.} and Erwan Sala{\"u}n and Senay Solak and Eric Feron and William Singhose and Clarke, {John Paul}",

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year = "2009",

month = dec,

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doi = "10.1109/DASC.2009.5347531",

language = "English (US)",

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AU - Vela, Adan E.

AU - Salaün, Erwan

AU - Solak, Senay

AU - Feron, Eric

AU - Singhose, William

AU - Clarke, John Paul

N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18

PY - 2009/12/1

Y1 - 2009/12/1

N2 - This paper considers the air traffic conflict resolution problem in the context of wind uncertainty. Aircraft are assigned changes in airspeed to prevent conflict. The goal is to determine the optimal maneuver to balance deviation costs (e.g., fuel costs) and the probability of conflict. A two-stage recourse model is developed, in which new airspeeds are assigned in the first stage, based on expected costs due to possible corrective actions in the second stage. The second-stage considers the expected costs for any last-minute maneuvers to compensate wind modeling errors. The resulting model is solved in real-time via numerical methods, providing optimal airspeed values for the resolution of a conflict. ©2009 IEEE.

AB - This paper considers the air traffic conflict resolution problem in the context of wind uncertainty. Aircraft are assigned changes in airspeed to prevent conflict. The goal is to determine the optimal maneuver to balance deviation costs (e.g., fuel costs) and the probability of conflict. A two-stage recourse model is developed, in which new airspeeds are assigned in the first stage, based on expected costs due to possible corrective actions in the second stage. The second-stage considers the expected costs for any last-minute maneuvers to compensate wind modeling errors. The resulting model is solved in real-time via numerical methods, providing optimal airspeed values for the resolution of a conflict. ©2009 IEEE.

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UR - http://www.scopus.com/inward/record.url?scp=77951032672&partnerID=8YFLogxK

U2 - 10.1109/DASC.2009.5347531

DO - 10.1109/DASC.2009.5347531

M3 - Conference contribution

SN - 9781424440788

BT - AIAA/IEEE Digital Avionics Systems Conference - Proceedings

ER -

A two-stage stochastic optimization model for air traffic conflict resolution under wind uncertainty

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