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On the airspace complexity metrics for predecessor-follower operations

Lucas Souza e Silva, Luis Rodrigues

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.

On the airspace complexity metrics for predecessor-follower operations

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.
Paper Structure (4 sections, 3 equations, 2 figures, 1 table)

This paper contains 4 sections, 3 equations, 2 figures, 1 table.

Table of Contents

  1. Introduction
  2. Pairwise dynamic workload (PDW)
  3. Simulation results
  4. Conclusions

Figures (2)

  • Figure 1: Comparison of PDW and DD, scenario 1
  • Figure 2: Comparison of PDW and DD, scenario 2