Abstract
Traditional dynamic models cannot fully describe the microdetails of the impact of emotional contagion on individual state and behavior when pedestrian evacuation is simulated. This paper addresses the problem by constructing a dynamic evolution mechanism among emotion, state, and behavior. First, the direction perception domain of pedestrians during evacuation is defined. Then, the dynamic emotional perception of pedestrians during an evacuation is studied, considering the emotional increment caused by personal walking speed and others in the direction perception domain. Next, emotional contagion is introduced into the improved cellular automata (CA) simulation model in the floor field (FF), entitled the “CECA model.” The transfer probability of pedestrians in different states is proposed by defining “susceptible emotional state” and “infectious emotional state.” Finally, the simulation results are compared with known models. The results demonstrate that the improved model can improve the evacuation efficiency of the system significantly. Simultaneously, the effects of emotional threshold, infection coefficient, calm coefficient, and perception radius of the evacuation system on the pedestrian evacuation process are simulated and analyzed, providing a basis for evacuation managers to formulate evacuation strategies.
Highlights
During the emergency, tension will affect people’s judgment and behavior decisions [16]
A dynamic pedestrian evacuation model combined with cellular automata (CA) considering emotional contagion is constructed, and the transfer probability is improved. en, in Section 3, the model’s effectiveness is analyzed by simulating the evacuation process. e influence of the emotional threshold, infection coefficient, calm coefficient, and perception radius on evacuation efficiency and the change in crowd evacuation state under different emotions are discussed
Because research on dynamic evacuation behavior considering emotional factors is currently limited and the model of dynamic update of emotion and behavior decision-making remains to be studied, this paper proposes an improved pedestrian evacuation CA model, entitled the CECA model
Summary
E population density of the forward direction is a factor that determines the selection of target cells In this model, the transition probability functions of “susceptible emotional state” (S) and “infectious emotional state” (I) groups are given. The target cells of “impulsive” pedestrians are two step cells (blue cell) in each direction, assumed to be set to G1 At this time, the moving speed is vij vmj ax. When the emotional threshold value is λemotion 0.3, 0.5, and 0.7, the simulation experiments are conducted on three parameters that reflect the dynamic characteristics of the group at each moment: the proportion of the group, the arch radius of the group at the exit, and the average moving speed in the system.
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