Simulating an Scheduling Airport Security Checkpoints: Q-Learning-Based Allocation of Operators to Security Teams at an Airport Security Checkpoint

In this paper, we propose and analyze a q-learning-based approach for allocation of operators to security teams in order to improve operational efficiency of an airport security checkpoint. The research is composed of two parts. First, we develop an agent-based model capable of simulating an airport security checkpoint. Second, we introduce...

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

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...

Modelling and analysis of dynamic relations and trade-offs between security and efficiency in airport security operations

The two performance areas “security” and “efficiency” in airport security operations cannot be analyzed apart from each other, since influencing one has a large impact on the other. In this research agent-based modelling is used to analyze dynamic relations and trade-offs between security and efficiency within airport security operations....