Simulation of Exit Choosing in Pedestrian Evacuation Using a Cellular Automaton Model Based on Surrounding Pedestrian Density

Author(s):  
Yan Xu ◽  
Hai-jun Huang ◽  
Li-jun Tian
2014 ◽  
Vol 686 ◽  
pp. 587-593 ◽  
Author(s):  
Shi Da Zhao ◽  
Nan Zhang ◽  
Ying Zhao

The paper presents an improved cellular automaton model according to the feature of evacuation near the outlet. We studied friction and turning factors that affect pedestrian evacuation speed. By using mathematical methods to derive expressions of friction function and turning function. The average pedestrian outflow of the simulation that includes the effect of both the frictional function and the turning function agrees well with experiment result. On the contrary, the simulation results that only include the effect of the frictional function are not corresponding to the experiment results well. Simulation results show that friction and turning can not be ignored. By analyzing the simulation results, it verified that the model can accurately reflect the actual evacuation process and has practical value.


2012 ◽  
Vol 263-266 ◽  
pp. 3184-3187
Author(s):  
Yu Yu ◽  
Qin Fen Shi ◽  
Yang Huang

Knowledge entities can be divided into egoists and altruists based on the various behaviors of tacit knowledge entities out of bounded rationality in the knowledge sharing process. Focusing on the evolvement of tacit knowledge entities’ sharing behavior among organizations, this paper chose knowledge sharing benefits and knowledge sharing costs as control parameters, and a tacit knowledge sharing model based on Cellular Automaton was proposed. Effects of the two control parameters on knowledge sharing behaviors and strategies were simulated with NetLogo, a professional simulation software, and related suggestions were put forward based on the results, which would enhance the tacit knowledge sharing among organizations.


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