Crowd evacuation model based on bacterial foraging algorithm
2018 ◽
Vol 29
(03)
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pp. 1850027
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Keyword(s):
To understand crowd evacuation, a model based on a bacterial foraging algorithm (BFA) is proposed in this paper. Considering dynamic and static factors, the probability of pedestrian movement is established using cellular automata. In addition, given walking and queue times, a target optimization function is built. At the same time, a BFA is used to optimize the objective function. Finally, through real and simulation experiments, the relationship between the parameters of evacuation time, exit width, pedestrian density, and average evacuation speed is analyzed. The results show that the model can effectively describe a real evacuation.
2005 ◽
Vol 1939
(1)
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pp. 123-132
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2014 ◽
Vol 2
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pp. 336-343
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2010 ◽
Vol 29
(3)
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pp. 699-726
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2015 ◽
Vol 6
(4)
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pp. 60-69
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2000 ◽
Vol 28
(3)
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pp. 379-407
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2017 ◽
Vol 28
(10)
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pp. 1750128
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