Моделирование поведения толпы на основе интеллектуальной динамики взаимодействующих агентов
Development of a phenomenological approach to simulation of the human crowd behavior, proposed in , is presented in the paper. We consider continuous stochastic agent-based model of human behavior in a confined space with a given geometry using clarifications on a status of an agent and decision-making system of an agent, presented in Helbing’s models [2, 3, 4] (molecular approach). Such integration seems to be the most promising development of this class of problems due to the fact that the first approach (Beklaryan-Akopov’s model) allows us to introduce a natural discretization of the problem and then calculate the increment of all agent’s characteristics at each time point, as well as use of elements of the second approach (Helbing’s model) allows us to describe the most realistic decision-making system of the agent. This eliminates the difficult problem of numerical integration of Newton’s equations underlying the Helbing’s model and offers explicit calculations of system characteristics.
In the result, the agent based model allowing to investigate the dynamics of agents taking into account ”effect of crowd” at various scenarios, in particular, in the conditions of extreme situations, in the presence of effects of “crowd crush” and “turbulence” and others effects was created in the simulation system AnyLogic.