For the limitations of the Cellular Automata (CA) model and the original Artificial Fish Swarm Algorithm (AFSA) in describing the conventional evacuation behavior of the comprehensive transportation hub personnel, a kind of pedestrian evacuation model based on the CA-Improved AFSA (CA-IAFSA) is proposed with considering the difference of walking speed and the difference of view between individuals. As the queuing mechanism and the export (entrance) selection behavior, the guiding behavior, and the memory function are added to the original AFSA. The top layer adopts the IAFSA for mobile location updating, and the bottom layer uses the CA model to solve moving position conflicts. Experiments show that the model can truly reflect the evacuation process of people transferring vehicles in an integrated transportation hub. Under the same environment, compared with the original AFSA, the proposed model realizes the orderly movement of individuals according to guidance, avoiding falling into local optimum. Compared with the CA model, it is better in terms of reflecting the individual's herd, obstacle avoidance, and export (entrance) selection behavior, thus effectively reduces the time complexity.