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Simulating flows of people using the model of an individual finite state machine

Authors: ALEKSEYTSEV ANATOLY; KURCHENKO NATALJA;

Simulating flows of people using the model of an individual finite state machine

Abstract

The article deals with mathematical modelling of flows of people on the basis of a modified stochastic individual-flow approach which represents the flow as a collective movement of individuals, each of whom situationally reacts to changes in the external environment. These changes may involve approaching individuals, emerging obstacles to be avoided, reduced visibility, the psychological conditions of a person, etc. The combination of these factors conditions a trajectory of the person’s movement in the flow, his or her speed while continuing on this trajectory and all this is modelled on the basis of the finite automata theory by way of the object-oriented programming. The motion of the flow is modelled by shifting the elliptical projections of individuals during a small discrete amount of time. Taking into account the possibility of verification of such shifts and depending on the totality of variable conditions it describes the situation occurring during a given time interval. Modelled is the confluence of flows of different densities. The proposed methodology enables one to determine the time in which the flows of people pass through the building including the one under construction taking into consideration the changing situation in the course of the motion. This may be used when preparing design solutions, for planning plots of land within urban territories, to time evacuations from buildings, and when designing communication premises in them.

Keywords

flows of people, finite state machine, free movement, evacuation, individual-flow method, simulation modelling.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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