Calibration and validation of an agent-based airport security checkpoint model with heterogeneous agents

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Abstract

Using a data-driven approach, a heterogeneous populated agent-based model of an airport security checkpoint is calibrated and validated. It is found that average performance using the model can be replicated to a sufficient degree. The heterogenous population could become useful when different passenger fractions - with different performance per passenger type - are analysed for different security checkpoint configurations. Furthermore, time-dependent agent performance could improve the models validity.