<p>For the safe functioning of rail transit systems, effective management of passenger flow is crucial. Nevertheless, existing formulation models are inadequate for simulating the entire passenger travel process due to their reliance on simple factors. Meanwhile, the strategy for controlling passenger influx generally concentrates solely on the entrance gate, which restricts its impact. To guarantee the safety and dependability of station operations, this research proposes a method for formulating and evaluating passenger influx control schemes for rail transit stations based on interactive simulations involving trains, passengers, and stations. Firstly, based on converted line-level passenger flow data, simulation intelligent agents for trains, passengers, and stations are constructed, and constraints of train capacity, station capacity, train interval, and arrival/departure time are presented. Then, the behavior and interactions of intelligent agents are described in detail, considering the diverse types of passenger flow. As a result, the micro travel simulation of passengers and passenger flow change display within the rail transit system are achieved. Next, a rolling adjustment method based on simulation results (RAM-BSR) is suggested to formulate and evaluate the passenger influx control schemes. Finally, the train delay of Shanghai Metro Line 13 on a certain workday is taken as a case study, where various passenger influx control schemes are comprehensively evaluated, validating the availability and reliability of the suggested simulation and formulation approach. The research results can well recreate the passengers’ travel process, formulate passenger influx control schemes, and provide rolling evaluation for the developed schemes.</p>