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. j 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. j 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. j 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.
