group
What campus are you from?
Daytona Beach
Authors' Class Standing
Kevin Quigley, Junior Samantha Mauk, Senior
Lead Presenter's Name
Kevin Quigley
Faculty Mentor Name
Subhradeep Roy
Abstract
Efficient boarding and deboarding are critical to reducing aircraft turnaround time and improving airport operations. This ongoing study uses a cellular automata (CA) framework to model passenger movement dynamics under different strategies and aircraft configurations. Each passenger is represented as an autonomous agent occupying discrete cells and following simple local rules that collectively give rise to emergent flow patterns. We present our initial implementation of this CA-based model and discuss its potential to systematically explore key parameters such as seat assignment strategies (e.g., back-to-front, outside-in, random), aisle width, luggage storage delays, and passenger cooperation levels in future work.
Did this research project receive funding support from the Office of Undergraduate Research.
No
Simulating Passenger Movement in Aircraft Cabins Using Cellular Automata Models
Efficient boarding and deboarding are critical to reducing aircraft turnaround time and improving airport operations. This ongoing study uses a cellular automata (CA) framework to model passenger movement dynamics under different strategies and aircraft configurations. Each passenger is represented as an autonomous agent occupying discrete cells and following simple local rules that collectively give rise to emergent flow patterns. We present our initial implementation of this CA-based model and discuss its potential to systematically explore key parameters such as seat assignment strategies (e.g., back-to-front, outside-in, random), aisle width, luggage storage delays, and passenger cooperation levels in future work.