The study selection from the data set includes a) pilot workload
(flight logbook) and the b) investigation of rotorcraft operation in
low-altitude environments (flight data of performed maneuvers).
The ability to compare and implement a modeling framework with
features that will explore the implications about system
environments correlated to the fight data and pilot logbook for
performance management with the Federal Aviation Administration
(FAA). As such, the selected data will explore the difference of
solutions for the recommendation needs in practices. The
understanding of system environments will allow the users to be
able to interpret the variable with insight using methods of advance
analytics. The practical framework descriptions will demonstrate
the benchmark of algorithms to improve results and coordination
among the algorithmically guided systems. The predicted action-
value based for planning enabling the decision to be model
according to the baseline of the algorithm and draw results from the
outputs (e.g., pilot workload and flight data of performed
maneuvers).
Data Set #1: Pilot workload (flight logbook): The data set identifies
the pilot’s workload of specific conditions and the flight planning
related to mission success and decisions. The change in workload of
pilots from a socio-technical aspect can be examined between the
differences of noticeable change and exposure to performance
parameters. g This introduces an investigative framework regarding
the end of approach transition to hover phase using applied
advanced analytics techniques.
Data Set #2: Rotorcraft performance management (flight data of
performed maneuvers): The data set of rotorcraft operations
regarding flight data of performed maneuvers reveals the need to
maximize a performance management approach to bring awareness
according to environmental conditions and strategies. The data set
from the FAA will allow for the quality control of flight maneuvers
concerning performance management of rotorcraft to implement a
formal structure for analysis and new insight in discoveries.
