Analysis and simulation of passenger flows in an airport terminal
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
The Information Systems Consultant's Handbook: Systems Analysis and Design
The Information Systems Consultant's Handbook: Systems Analysis and Design
A Multi-Agent Cellular Automata System for Visualising Simulated Pedestrian Activity
Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry: Theoretical and Practical Issues on Cellular Automata
The simulation of passenger movements through a transit station
WSC '74 Proceedings of the 7th conference on Winter simulation - Volume 2
Simulation in the design of unit carrier materials handling systems
WSC '73 Proceedings of the 6th conference on Winter simulation
Queueing network analysis: concepts, terminology, and methods
Journal of Systems and Software
Modeling people flow: online simulation of pedestrian flow in public buildings
Proceedings of the 35th conference on Winter simulation: driving innovation
Enabling industrial scale simulation/emulation models
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Real-time crowd motion planning: Scalable Avoidance and Group Behavior
The Visual Computer: International Journal of Computer Graphics
Management of check-in at the Naples port terminal by DES logic
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
Proceedings of the Winter Simulation Conference
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This study presents a dynamic queue controller to generate realistic queue formation and behaviour within a discrete event environment and a new data set to define passenger walking speeds. This new controller provides a detailed visual reference of the queue behaviour and provides information on important metrics, such as queue size. The controller, combined with the walking speed data, is validated against CCTV footage of airport passenger screening points, and the simulation outputs are compared to results obtained from queueing theory. A simulation approach provides superior results over the averaged results from queuing theory and a more useful insight into the behaviour of the system.