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 proceedingConference contribution

13 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 languageEnglish (US)
Title of host publicationAIAA/IEEE Digital Avionics Systems Conference - Proceedings
DOIs
StatePublished - Dec 1 2009
Externally publishedYes

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