This paper studies the passenger flow control of an urban rail transit transfer station and proposes a multimode passenger flow control model combining inbound flow control and a roundabout at transfer. The model aims at minimizing the average staying time of passengers and satisfies the requirement that the number of passengers on the platform is within the safety limit. A particle swarm optimization algorithm is used to solve the model. The significant passenger flow in the morning peak hours at Guomao Station is simulated. The converging during the process of model solution is fast and sTab.. The results of experiments are compared and analyzed under the conditions of no passenger flow control, normal inbound passenger flow control, and multimode passenger flow control. The results prove the necessity of multimode passenger flow control and the feasibility and effectiveness of the model proposed in this paper.