| With the improvement of the level of social productivity,the continuous expansion of public building space can accommodate more and more people,and the crowd is dense.Therefore,in public places,the evacuation safety design of pedestrians is essential.When a large number of pedestrians move on public places or sidewalks,the movement direction of individuals is more complicated,and the movement of the crowd also has a certain influence on the spread of infectious diseases.People have both translational movement and rotation in the process of movement,that is,the "turn" behavior of pedestrians.In the actual scene,facing the upstream individual,the pedestrian constantly adjusts his moving direction,and turns sideways in the crowded area to avoid contact with other pedestrians.collision.In addition,crowded places are also high-risk places for infectious diseases.It is of great significance to understand the movement patterns of pedestrians and their influence on the spread of infectious diseases.Based on this,effective prevention and control measures for infectious diseases are given.Therefore,this paper explores the more complex rotational motion in the process of individual motion,focusing on the rotational behavior of the individual in order to avoid collision,so as to improve the individual motion model and conduct experimental verification;on the other hand,this paper studies the effect of pedestrian motion in subway stations on the The impact of disease transmission and put forward effective prevention and control measures.The main research contents of this paper are as follows:First,by analyzing the collision avoidance model in the existing research,we find that pedestrians have both the behavior of adjusting the direction and the behavior of changing the direction of the body in order to avoid collision in the actual movement process.The behavior is divided into a counterflow(CF)model and a side-shoulder model when implemented in the simulation.In study,the two models were mixed to observe its coupling effect on pedestrians.By observing the simulation results of the hybrid model,it is found that the hybrid model can well reproduce the two rotation behaviors of pedestrians in the actual process,and there will be no "stuck" phenomenon that does not conform to the actual situation in the simulation.At the same time,we verified the correctness of hybrid model through experiments,focusing on the influence of channel width and crowd density on the mixed model,which shows the superiority of the mixed model.Then,we explored the impact of the pedestrian exit process in subway stations on disease transmission.By combining the social force model of pedestrian movement and the SEIR model of disease transmission,we give an infection determination method for infectious diseases,so as to obtain the infection transmission probability required for our research.Through the simulation,we obtained the influence of the infection radius and the number of contacts on the number of infected people,determined the influencing factors of disease transmission,and analyzed the aggregation of pedestrians in the subway station.Based on the infection probability density map and previous results,we propose corresponding measures to reduce the number of infections,while validating the proposed measures.The results show that increasing the distance between pedestrians,increasing the expected speed,and guiding pedestrians to take the stairs will significantly reduce the number of infected people,while the increase in the total number of people leaving the station will increase the incidence of infection.In summary,this paper improves the social force model describing individual movement,and combines the social force model and the contagion model to study the disease transmission in crowd movement.It provides a certain reference for more accurate description of individual movement and the formulation of infection prevention and control measures during the epidemic. |
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