Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Alexandra Davidoff, Sophomore
Lead Presenter's Name
Alexandra Davidoff
Lead Presenter's College
DB College of Engineering
Faculty Mentor Name
Keith Garfield
Abstract
This report, created to fulfill the requirements of CS 225 with an honors distinction, discussed an airport operations simulation created by the author to analyze queuing models and provide a tool for determining airport efficiency in response to the manipulation of airport configurations. This research particularly applies to any single airline testing the configuration of an allotted number of gates and gate crews for their departing and arriving flights. By running the simulation a statistically significant number of times, a conclusive estimate for airport efficiency was made for particular user scenarios. These experimental results were summarized in the report by utilizing the airport operations simulation. Key user inputs included airport type, number of available gate crew, number of available gates, and airline traffic. Furthermore, key outputs included information regarding flight delays and cancellations, takeoffs and landings, and time to arrive or depart. Both the simulation and the final report will be completed by the end of the Spring 2022 academic semester and are currently in progress.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Airport Operations Simulation
This report, created to fulfill the requirements of CS 225 with an honors distinction, discussed an airport operations simulation created by the author to analyze queuing models and provide a tool for determining airport efficiency in response to the manipulation of airport configurations. This research particularly applies to any single airline testing the configuration of an allotted number of gates and gate crews for their departing and arriving flights. By running the simulation a statistically significant number of times, a conclusive estimate for airport efficiency was made for particular user scenarios. These experimental results were summarized in the report by utilizing the airport operations simulation. Key user inputs included airport type, number of available gate crew, number of available gates, and airline traffic. Furthermore, key outputs included information regarding flight delays and cancellations, takeoffs and landings, and time to arrive or depart. Both the simulation and the final report will be completed by the end of the Spring 2022 academic semester and are currently in progress.