On the airspace complexity metrics for predecessor-follower operations

TL;DR

This paper introduces a new airspace complexity metric called pairwise dynamic workload (PDW) that quantifies controller workload and aircraft coordination effort, enabling continuous assessment of airspace complexity and conflict potential.

Contribution

It proposes the PDW metric based on aircraft separation parameters, providing a continuous and dynamic measure of airspace complexity for predecessor-follower operations.

Findings

PDW effectively tracks airspace complexity variations over time.

PDW correlates with potential conflict scenarios.

It offers a tool for autonomous and supervised aircraft procedure implementation.

Abstract

This technical note proposes a novel airspace complexity metric that quantifies the air traffic controller workload and coordination effort for pairwise predecessor-follower aircraft operations in cruise. The pairwise dynamic workload (PDW) is proposed as a continuous function that depends on the relevant parameters of these operations, such as the aircraft separation and separation rate. A comparison of this metric with the dynamic density (DD) shows that it is capable of continuously evaluating the variation of airspace complexity over time and monitoring the aircraft parameters that might lead to conflicts. This metric can be used to support the implementation of autonomous and supervised aircraft procedures, to achieve a more structured and coordinated airspace.