In this research, an influenza-pandemic simulator based on Taiwan population to predict attack rates under various intervention strategies is developed. The simulation is based on Longini et al. (2004) model. We model the Taiwan population based on the 2008 real population data and model the infection due to traveling based on the 2007 real railway transportation data in Taiwan. Simulation runs are also conducted where each running length is 180 days, 6 months of influenza peak activity. To fasten the simulation speed, one simulation entity represents 1000 persons. Simulation results show that the intervention strategies can reduce attack rates significantly. Furthermore, vaccinating a proportion of children under age 18 is more effective than random vaccination and can reduce the vaccination cost as well.