For quantitative analysis of the application effect of a subway platform passenger flow organization scheme, the data on the passenger waiting distribution were collected on-site, and the characteristics of the waiting position selection were statistically analyzed. Finally, it was found that the waiting position selection of the passengers was centralized and affected by the walking distance, queue length, and waiting area capacity. Based on the principle of the bacterial chemotaxis (BC) algorithm and the characteristics of platform passenger waiting position selection, a platform passenger distribution simulation model was established, and the model was calibrated and validated using the measured data. An optimization scheme has been proposed based on the length of the current-limiting railing of the platform, the waiting scene and optimization scheme of the platform are reproduced using the model, and the optimization effect is verified. The results show that after the implementation of the optimized scheme of limiting the railing, the average density of passenger flow in the waiting area of the platform decreased by 0.02, 0.07, and 0.09, respectively, and the number of people who could get on the bus increased by 10, 8, and 11; this scheme was therefore considered to be effective. The model and its application results can provide the theoretical support and basis for subway station operation management to determine a passenger flow control strategy.