Airport Capacity Simulation Assessment
Keywords:
Airport, Intensity, Capacity, Simulation, Transportation, Queuing System, Agent-Based SimulationAbstract
Purpose: A modern airport supposes well-coordinated functioning of many units and subdivisions which should promptly react
to any contingency. Their number can vary depending on the daily workload of the terminal. The aim of this reseach is to simulate
passenger traffic and airport service functioning to form a decision-making system which would analyze the quality of the airport
functioning and the amount of necessary staff. Results: A mathematical simulation model of passenger traffic has been developed,
using agent-based simulation in AnyLogic environment. The model represents the functioning of a passenger terminal, and simulates
the activity of all units and subdivisions of the terminal. Practical relevance: The developed simulation model has high precision and
good speed. In just a few minutes, you can get a passenger traffic forecast for several hours. The model takes into account the features
of all the main elements of the airport affecting the passenger traffic. When the model is run, a huge amount of data is generated
200–300 times a day, to be programmatically analyzed later and converted for the airport management decision-making system.