1 research outputs found
Variable guiding strategies in multi-exits evacuation: Pursuing balanced pedestrian densities
Evacuation assistants and their guiding strategies play an important role in
the multi-exits pedestrian evacuation. To investigate the effect of guiding
strategies on evacuation efficiency, we propose a force-driven cellular
automaton model with adjustable guiding attractions imposed by the evacuation
assistants located in the exits. In this model, each of the evacuation
assistants tries to attract the pedestrians in the evacuation space towards its
own exit by sending a quantifiable guiding signal, which may be adjusted
according to the values of pedestrian density near the exit. The effects of
guiding strategies pursuing balanced pedestrian densities are studied. It is
observed that the unbalanced pedestrian distribution is mainly yielded by a
snowballing effect generated from the mutual attractions among the pedestrians,
and can be suppressed by controlling the pedestrian densities around the exits.
We also reveal an interesting fact that given a moderate target density value,
the density control for the partial regions (near the exits) could yield a
global effect for balancing the pedestrians in the rest of the regions and
hence improve the evacuation efficiency. Our findings may contribute to give
new insight into designing effective guiding strategies in the realistic
evacuation process.Comment: 13 pages, 12 figure