A hybrid agent architecture for enabling tactical level decisions in floor field approaches

For a comprehensive modeling of pedestrian dynamics in real-world scenarios the consideration of tactical level decisions in addition to operational ones is necessary. This paper presents a hybrid agent architecture employing a Floor Field approach at the operational level but granting agents an abstract representation of the simulated environment. The paper briefly presents the environmental model and hybrid agent architecture based on the floor field approach, then a sample practical application in a simple case study is also presented to show how it allows specifying abstract behavioural scripts for different groups of agents.