A fuel optimal and reduced controller workload optimization model for conflict resolution

Adan E. Vela; Senay Solak; Eric Feron; Karen Feigh; William Singhose; John Paul Clarke

doi:10.1109/DASC.2009.5347517

A fuel optimal and reduced controller workload optimization model for conflict resolution

Adan E. Vela, Senay Solak, Eric Feron, Karen Feigh, William Singhose, John Paul Clarke

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

15 Scopus citations

Abstract

Despite the existence of several automated air traffic conflict resolution algorithms, there is a need for formulations that account for air traffic controller workload. This paper presents such an algorithm with controller workload constraints modeled parametrically. To this end, we first develop an integer programming model for general conflict resolution, which emphasizes the minimization of fuel costs, and runs in near real-time. A parametric procedure based on this model is then developed to consider controller workload limitations. Two versions of the parametric approach are described, along with computational results. It is demonstrated that both formulations can be used to capture a broad range of possible controller actions. ©2009 IEEE.

Original language	English (US)
Title of host publication	AIAA/IEEE Digital Avionics Systems Conference - Proceedings
DOIs	https://doi.org/10.1109/DASC.2009.5347517
State	Published - Dec 1 2009
Externally published	Yes

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

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10.1109/DASC.2009.5347517

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title = "A fuel optimal and reduced controller workload optimization model for conflict resolution",

abstract = "Despite the existence of several automated air traffic conflict resolution algorithms, there is a need for formulations that account for air traffic controller workload. This paper presents such an algorithm with controller workload constraints modeled parametrically. To this end, we first develop an integer programming model for general conflict resolution, which emphasizes the minimization of fuel costs, and runs in near real-time. A parametric procedure based on this model is then developed to consider controller workload limitations. Two versions of the parametric approach are described, along with computational results. It is demonstrated that both formulations can be used to capture a broad range of possible controller actions. {\textcopyright}2009 IEEE.",

author = "Vela, {Adan E.} and Senay Solak and Eric Feron and Karen Feigh and William Singhose and Clarke, {John Paul}",

note = "Generated from Scopus record by KAUST IRTS on 2021-02-18",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/DASC.2009.5347517",

language = "English (US)",

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T1 - A fuel optimal and reduced controller workload optimization model for conflict resolution

AU - Vela, Adan E.

AU - Solak, Senay

AU - Feron, Eric

AU - Feigh, Karen

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 - Despite the existence of several automated air traffic conflict resolution algorithms, there is a need for formulations that account for air traffic controller workload. This paper presents such an algorithm with controller workload constraints modeled parametrically. To this end, we first develop an integer programming model for general conflict resolution, which emphasizes the minimization of fuel costs, and runs in near real-time. A parametric procedure based on this model is then developed to consider controller workload limitations. Two versions of the parametric approach are described, along with computational results. It is demonstrated that both formulations can be used to capture a broad range of possible controller actions. ©2009 IEEE.

AB - Despite the existence of several automated air traffic conflict resolution algorithms, there is a need for formulations that account for air traffic controller workload. This paper presents such an algorithm with controller workload constraints modeled parametrically. To this end, we first develop an integer programming model for general conflict resolution, which emphasizes the minimization of fuel costs, and runs in near real-time. A parametric procedure based on this model is then developed to consider controller workload limitations. Two versions of the parametric approach are described, along with computational results. It is demonstrated that both formulations can be used to capture a broad range of possible controller actions. ©2009 IEEE.

UR - http://ieeexplore.ieee.org/document/5347517/

UR - http://www.scopus.com/inward/record.url?scp=77951085732&partnerID=8YFLogxK

U2 - 10.1109/DASC.2009.5347517

DO - 10.1109/DASC.2009.5347517

M3 - Conference contribution

SN - 9781424440788

BT - AIAA/IEEE Digital Avionics Systems Conference - Proceedings

ER -

A fuel optimal and reduced controller workload optimization model for conflict resolution

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