2015•Unpublished venueRequires access

Simulation of Pedestrian Evacuation Flow Based on Crowd Space

Shiwei Li, Huimin Niu

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Abstract

Simulation of pedestrian evacuation flow is based on cellular automata model, which defines personal space and information processing space within the field of pedestrian’s movement. It uses the pedestrian density to descript evacuation characteristics in the condition of the different environments, in order to determine pedestrian’s behavior choice. Furthermore, it analyses system scale, exit’s width, pedestrian density and selection strategies on the effect of evacuation time, and observes the self-organization phenomena in the process of simulation. It is shown that the evacuation time is not only influenced by the scale of the system, but also directly with the exit width and selection strategy.

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What this paper is about

Simulation of pedestrian evacuation flow is based on cellular automata model, which defines personal space and information processing space within the field of pedestrian’s movement. It uses the pedestrian density to descript evacuation characteristics in the condition of the different environments, in order to determine pedestrian’s behavior choice. Furthermore, it analyses system scale, exit’s width, pedestrian density and selection strategies on the effect of evacuation time, and observes the self-organization phenomena in the process of simulation. It is shown that the evacuation time is not only influenced by the scale of the system, but also directly with the exit width and selection strategy.

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Available abstract

Simulation of pedestrian evacuation flow is based on cellular automata model, which defines personal space and information processing space within the field of pedestrian’s movement. It uses the pedestrian density to descript evacuation characteristics in the condition of the different environments, in order to determine pedestrian’s behavior choice. Furthermore, it analyses system scale, exit’s width, pedestrian density and selection strategies on the effect of evacuation time, and observes the self-organization phenomena in the process of simulation. It is shown that the evacuation time is not only influenced by the scale of the system, but also directly with the exit width and selection strategy.

Key concepts: Pedestrian, Cellular automaton, Computer science, Simulation, Scale (ratio), Process (computing), Selection (genetic algorithm), Flow (mathematics)

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