Abstract: To grasp the dynamic trend of station passenger flow accurately, this paper researched and developed a station passenger flow simulation system of urban rail transit based on double optimized streamline. The paper improved the expected direction and expected speed of self driving force in the traditional social force model to calculate the impact of passenger collision behavior on the local streamline, implement the dynamic optimization of the local streamline. By designing the scalable hierarchical structure of the global streamline, the paper discriminated the attributes of multi-source nodes, and realized the optimization of the global streamline. By building a two-dimensional scene of the station, the paper implemented the station simulation animation display and passenger flow data statistics, and visually displays the passenger flow bottleneck area. Taking an urban subway station as an example, the passenger flow simulation system was applied to simulate and deduce its passenger flow. The simulation results show that the system can effectively simulate and deduce the passenger flow trend of the normal operation day of the station, count and display all kinds of passenger flow data, improve the visual distribution effect of passenger flow in the station, and provide data support for mastering the passenger flow congestion points and implementing the passenger flow control scheme.