the number of flights traveling throughout the United States
today, it is inevitable that schedule changes must be made.
Flights are typically scheduled months in advance, taking
many factors into consideration. Crew member schedules, air
space, gate availability, as well as many other factors are
essential constituents used to determine a flight schedule
given the projected information. Despite careful planning,
delay or cancellation decisions must be made due to weather
conditions, ground traffic at each airport, airport infrastructure
construction, and other flight delays.
Operations Centers (AOC) dispatchers adjust flight schedules
dynamically throughout the day. This adjusting process is,
however, based to a great extent on controllers' intuitions
and acquired domain knowledge. A more sophisticated strategy
for schedule recovery is needed to aid the dispatchers' decisions
and therefore avoid unnecessary costs to the airline. Once
this system is implemented, controllers will have access to
an automated decision support tool allowing them to make more
task is to determine the down path impact of canceling a scheduled
flight. We are working to develop an algorithm/tool for prioritizing
flights for cancellation in a way which will minimize the
downstream schedule disruption.