The aim of this project was creating a modular, agent-based simulation model to simulate an influenza season of a country. The benefit of this approach is that the spread of the epidemic does not need to be known in detail. Instead, the epidemic emerges automatically based on persons, interactions, and transmissions. In a first step, the model was calibrated to reproduce the well-known influenza season 2006-2007 in Austria. This allowed correct parameterization and validation of the model. In the next steps, the outcomes of vaccination strategies and possible measures were simulated. Further, it is possible to test strategies for coming years, based on knowledge from past influenza seasons.