Abstract: In response to the issues of single scenario, lack of flexibility, and adaptability in passenger flow collaborative management and control methods for high-speed railway comprehensive transportation hubs (referred to as hubs), this paper analyzed the current research status of passenger flow collaborative management and control methods for hubs in China from both normal and abnormal situations, and focused on the key technologies for optimizing passenger flow collaborative management and control of hubs. The paper elaborated on complex streamline analysis techniques under normal conditions, and real-time matching measurement methods of dynamic and static information, as well as dynamic bottleneck point identification and prediction methods and emergency collaborative dispatching and decision-making methods under abnormal conditions. It has reference value for the construction and development of hubs in China.