Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

PROJECT TITLE :

Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

ABSTRACT:

This paper explores ways to include aspects of controller taskload into conflict-resolution programs through a parametric approach. We have a tendency to are motivated by the desire to create conflict-resolution call-support tools that operate inside a personality's-in-the-loop control design by actively accounting for, and moderating, controller taskload. Specifically, we have a tendency to introduce 2 conflict-resolution programs with the objective of managing controller conflict-resolution taskload, i.e., the quantity of maneuvers used to separate air traffic. Managing conflict-resolution taskload is accomplished by penalizing aircraft maneuvers through their L1 norm in the value perform or constraining the quantity of maneuvers directly. Analysis of the programs reveals that both approaches are successful at managing controller conflict-resolution taskload and minimizing fuel burn. Directly constraining conflict-resolution taskload is more successful at minimizing the variation in the number of aircraft maneuvers issued and returning the aircraft to their desired exit point. Penalizing maneuvers through L1 norm prices is a lot of successful at reducing controller conflict-resolution taskload at lower traffic volumes. Ultimately, results demonstrate that the inclusion of such parametric models can successfully regulate controller conflict-resolution taskload.

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