Occupants’ behavior of going with the crowd based on cellular automata occupant evacuation model

2008 ◽  
Vol 387 (14) ◽  
pp. 3708-3718 ◽  
Author(s):  
Daoliang Zhao ◽  
Lizhong Yang ◽  
Jian Li
Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zhihong Li ◽  
Yanjie Wen ◽  
Li Zhao ◽  
Yang Dong

The study of evacuation for buildings with limited space is an important part of improving evacuation efficiency and preventing stampedes. A building evacuation model was proposed based on cellular automata simulation considering different crowd states. Different flow sizes under layout environments with the same facilities as well as evacuation efficiency, bottleneck area density, and escape routes choice under the orderly and disorderly distribution conditions have also been analyzed. The results show that the initial disorderly distribution state is superior to the orderly distribution state in terms of the evacuation efficiency index. The former provides evacuees with maximum room for the corridor and the exit, with the overall evacuation density being lower than that of the latter. Evacuation along the central corridor provides more room compared to that of the two flanks, which explains why evacuees prefer to occupy the central area when space is limited, and this is detrimental to the moving capacity.


2015 ◽  
Vol 26 (08) ◽  
pp. 1550089 ◽  
Author(s):  
Daoliang Zhao ◽  
Jinhui Wang ◽  
Xiaoliang Zhang ◽  
Xiaoqun Wang

A two-dimensional (2D) Cellular Automata (CA) random model is developed to simulate occupant evacuation considering gathering behavior. The movement process from random distribution to gathering state can be simulated based on the map of the position repulsive force. Evacuations with random distribution and gathering distribution are compared. Visual field means object area coverage considered by the individual in the current cell, representing by the radius of visual field, VR. The simulation results with VR = 1 and 2 have little difference while the simulation with VR = 3 can reasonably represent gathering process. When the occupant density is less than 0.64 people/m2, the time of gathering process increases very fast with the increase of density; when the density is larger than 1.28 people/m2, the time of gathering decreases with the increase of density. When the initial density is less than 1.44 people/m2, the evacuation times with random distribution are always less than those with gathering distribution. When the initial density is larger than 1.44 people/m2, the evacuation times with gathering or random distribution are almost the same. Our model can simulate the gathering and evacuation process with more than two rally points. The number and distribution of rally points can deeply affect the evacuation time.


2014 ◽  
Vol 556-562 ◽  
pp. 4061-4064
Author(s):  
Xue Ling Jiang ◽  
Chao Yun Long ◽  
Shui Jie Qin ◽  
Li Ping Wang ◽  
Jiang Hui Dong

The dynamic parameter model based on cellular automata was not taken into account interaction between pedestrian and environment,it resulted in quite different from that of in real life.So a new model was proposed by taking into account one of the interactions:repulsion.In the present work, evacuation involving repulsion problem was studied in the room with single exit.The expanded model based on dynamic parameter model is introduced by using the quantitative of repulsion.The model could be used to explore the different degree of panic through repulsion.The corresponding simulations of pedestrian evacuation with repulsion were carried out. It extends the constraint where the original model was applied. The improved model is more accordance with actual circumstance than the original dynamic parameters model.The improved model is not only expected to model evacuations in detail but also has high efficiency.


2014 ◽  
Vol 115 (22) ◽  
pp. 224905 ◽  
Author(s):  
Lei You ◽  
Chi Zhang ◽  
Jun Hu ◽  
Zhiheng Zhang

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