A Cellular Automata occupant evacuation model considering gathering behavior

Zhao, Daoliang; Wang, Jinhui; Zhang, Xiaoliang; Wang, Xiaoqun

doi:10.1142/s0129183115500898

Cited by 23 publications

(8 citation statements)

References 24 publications

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“…Static floor field and dynamic floor field are both used in this study. Static floor field focuses on the target exit and it is always fixed, and dynamic floor field concentrates on the densely populated area and it is dynamically updated when time advances [13], [37], [38].…”

Section: B Floor Fieldmentioning

confidence: 99%

Simulation of Pedestrian Evacuation in University Canteen Based on Cellular Automata

Wang

Meng³

et al. 2019

IEEE Access

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In this study, we firstly build up an exit choice model to describe the pedestrians' exit choice behavior in a specific place, i.e., university canteens. The pedestrians are assumed to minimize their evacuation time in choosing exits by explicitly considering the estimated evacuation time and effects of pedestrians' destinations. In addition, the behavior of food tray return is also captured in the proposed route choice model for pedestrians. Fusing the exit choice model and the route choice model into a cellular automata (CA)based pedestrian simulation model, we simulate the pedestrian evacuation process in university canteen and the results illustrate the effectiveness of the modeling framework in terms of describing the evacuation process in university canteens. Specifically, destination is identified as a key influence factor for pedestrian evacuation, and pedestrians tend to select the exit that is closer to their destinations. If it is required to return the food tray to designated spots before leaving the canteen, the evacuation efficiency is significantly reduced. The simulation result can also assist in determining the optimal number of tray-return spots if maximum evacuation efficient is to be achieved. In presence of the specific parameter settings and canteen layout in the case study example, it is recommended to deploy four tray-return spots in the university canteen.INDEX TERMS University canteen, exit choice, route choice, pedestrian evacuation, cellular automata.

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Section: B Floor Fieldmentioning

confidence: 99%

Simulation of Pedestrian Evacuation in University Canteen Based on Cellular Automata

Wang

Meng³

et al. 2019

IEEE Access

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“…In the crowd simulation field, the social force model, cellular automata (CA) model and agent based model were common microscopic models, which were often used in crowd evacuation simulation. Zhao [25] used the cellular automaton model to simulate panic evacuation behaviors and discussed the effects of population density on aggregation. Their study found that the crowd gathered quickly when the indoor population density was low under the influence of the repulsive force.…”

Section: Related Workmentioning

confidence: 99%

Using SIR Model to Simulate Emotion Contagion in Dynamic Crowd Aggregation Process

Xiang¹

2018

IJPE

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Emotion contagion is an indispensable behavior in a dynamic crowd, especially in an evacuation situation. As a consequence, generating emotion contagion results is very useful in the crowd simulation field. However, because the topology of the crowd usually keeps changing dynamically, computing the contagion process is a challenge. In this paper, we represented our research about the emotion contagion effects on the virtual pedestrian dynamic aggregation process. First of all, we calculated individuals' moving parameters based on their prefixed expectations according to the social force theory. After this, we made an adjacent test for each individual to generate nearer neighbors for further emotional contagions computing between neighbors. We then treated the emotional contagions between individuals and their neighbors as the information spreading process so that we can adopt the emotional information spreading model SIR (Susceptible Infective Removal) to calculate emotional influences, which are represented as their changing moving velocities during aggregation. Social force for computing low level moving parameters and SIR model for generating emotional influences were integrated by our method to simulate the dynamic pedestrian aggregation. Experimental results showed that the SIR model can effectively improve the fidelity of the emotional interaction process and crowd aggregation.

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“…6) Do the above until all the occupants finish their evacuation. For more details, please refer to our previous work [25] Table 1. For the accuracy of the data, all the results in this paper are the mean values of 10 times calculation in the same condition.…”

Section: Ca Modelmentioning

confidence: 99%

“…As shown in Figure 5, the occupants and the exit door are purposely separated by two rows of unfilled nodes to prevent the premature occurrence of jamming [25]. Figure 6 shows the results of EXODUS and the CA model.…”

Section: Case Fourmentioning

confidence: 99%

Comparative Study on Occupant Evacuation with Building EXODUS and a Cellular Automaton Model

Zhao¹,

Yegenmammedov²,

Liu³

et al. 2017

OJSST

Self Cite

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Building EXODUS software is used to calculate the evacuation times and simulate the evacuation behavior. The results and laws are compared with those from a 2D Cellular Automaton (CA) random evacuation model developed by our group. EXODUS simulation is more reasonable than the CA simulation in the case of evacuation from a simple room, but CA model is more reasonable in the case of evacuation in a long corridor after bottlenecks. As far as the evacuation from a simple room with a single exit is concerned, there is a critical value of exit width. The value of exit width should be bigger than the critical value in order to ensure a dilute pedestrian flow, but the value doesn't need to be too big. The bigger the original occupant density, the longer the evacuation time is. They can be fitted as a linear relationship. The principle of taking the shortest route is not always useful. If the distribution of occupant density is not uniform at each building part, balancing the use efficiency of each exit should be the main principle in order to improve evacuation efficiency. All the above laws can be obtained both from EXODUS and the CA model.

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A Cellular Automata occupant evacuation model considering gathering behavior

Cited by 23 publications

References 24 publications

Simulation of Pedestrian Evacuation in University Canteen Based on Cellular Automata

Simulation of Pedestrian Evacuation in University Canteen Based on Cellular Automata

Using SIR Model to Simulate Emotion Contagion in Dynamic Crowd Aggregation Process

Comparative Study on Occupant Evacuation with Building EXODUS and a Cellular Automaton Model

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