I. Introduction
Cellular Automata (CA) model [1] is now a more frequently used basic model in crowd evacuation simulation. Many scholars at home and abroad have innovated and extended the cellular automata model, and some scholars have studied the particular behaviors of pedestrians. For example, Yi et al. [2] proposed an extended floor field to study the stepping behavior of pedestrians in the evacuation based on the CA model. They formulated different evacuation strategies for different types of pedestrians. Chen et al. [3], based on Field Cellular Automata theory, incorporate the interaction between passengers and nudge rules to emphasize the role of friction and repulsion in ship passenger evacuation. Song et al. [4] introduced the baggage retrieval and overtaking behaviors of pedestrians in the CA model further to enhance the realism and accuracy of the model. Some scholars have also considered the psychological and emotional factors of pedestrians, e.g., Xu et al. [5] proposed an emotional reverse velocity obstacles (RVOs) model for multi-hazard scenarios, combining different hazards and individual panic, incorporating the emotional effect into speed decision-making, and investigating the path selection of pedestrians in a panicked state. Tian et al. [6] proposed a knowledge and emotionally-driven crowd evacuation simulation method, modelling the knowledge representation, combining the susceptibility to infection (SI) model, simulating the knowledge dissemination process, and investigating the effects of knowledge and emotion on crowd movement in criticalsituations.