scholarly journals Evacuation Model of Emotional Contagion Crowd Based on Cellular Automata

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Qian Xiao ◽  
Jiayang Li
Keyword(s):  
Cellular Automata ◽  
Emotional Contagion ◽  
Sis Model ◽  
Pedestrian Evacuation ◽  
Security Research ◽  
Movement Characteristics ◽  
Crowd Evacuation ◽  
Floor Field ◽  
Evacuation Model ◽  
Improved Model

Crowd evacuation under emergency is an important task of world public security research and practice. In order to describe the microemotional contagion of evacuation individuals, a cellular automata-based evacuation model of emotional contagion crowd based on the classical SIS model of infectious diseases is proposed in this paper. Firstly, the state of evacuation individual is defined as “emotional susceptible” and “emotional infective.” Then, a dynamic model considering emotional contagion is established with cellular automata. Based on the models of static floor field and dynamic floor field, the emotion updating rules and state updating rules are constructed. The influence of perception domain radius on pedestrian evacuation process is analyzed through experiments. The conclusion can provide evacuation guidance for evacuation individuals. The comparative experiment results show that the improved model can reflect the movement characteristics of evacuation individuals effectively. The evacuation efficiency of the whole system is also effectively improved due to the consideration of emotional contagion and evacuation strategy.

scholarly journals Pedestrian Evacuation Model considering Dynamic Emotional Update in Direction Perception Domain

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Qian Xiao ◽  
Jiayang Li
Keyword(s):  
Dynamic Models ◽  
Emotional State ◽  
Emotional Contagion ◽  
Emotional Perception ◽  
Pedestrian Evacuation ◽  
Floor Field ◽  
Improved Model ◽  
And Behavior ◽  
The Impact ◽  
Transfer Probability

Traditional dynamic models cannot fully describe the microdetails of the impact of emotional contagion on individual state and behavior when pedestrian evacuation is simulated. This paper addresses the problem by constructing a dynamic evolution mechanism among emotion, state, and behavior. First, the direction perception domain of pedestrians during evacuation is defined. Then, the dynamic emotional perception of pedestrians during an evacuation is studied, considering the emotional increment caused by personal walking speed and others in the direction perception domain. Next, emotional contagion is introduced into the improved cellular automata (CA) simulation model in the floor field (FF), entitled the “CECA model.” The transfer probability of pedestrians in different states is proposed by defining “susceptible emotional state” and “infectious emotional state.” Finally, the simulation results are compared with known models. The results demonstrate that the improved model can improve the evacuation efficiency of the system significantly. Simultaneously, the effects of emotional threshold, infection coefficient, calm coefficient, and perception radius of the evacuation system on the pedestrian evacuation process are simulated and analyzed, providing a basis for evacuation managers to formulate evacuation strategies.

scholarly journals Floor Field Model Based on Cellular Automata for Simulating Indoor Pedestrian Evacuation

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Xiao Yang ◽  
Binxu Wang ◽  
Zheng Qin
Keyword(s):  
Cellular Automata ◽  
Field Experiments ◽  
Field Model ◽  
Field Method ◽  
Research Centre ◽  
Model Parameters ◽  
Field Approach ◽  
Pedestrian Evacuation ◽  
Floor Field ◽  
Complex Scenario

A new static floor field method for simulations of evacuation processes based on cellular automaton was presented in this paper. This model applies an inertia static floor field approach to describe the interaction between the pedestrians and the cell. Here we study a rather simple situation and a complex scenario. We simulate and reproduce Seyfried’s field experiments at the Research Centre Jülich and use its empirical data to validate our model. The concept of scenario-familiarity of the crowd has been proposed to explain the model. It is shown that the variation of the model parameters deeply impacts the evacuation efficiency. The relation between minimal evacuation times and the knowledge of the exit that the pedestrian acknowledges is discussed.

Occupant Evacuation Based on Cellular Automata Involving Repulsion

2014 ◽  
Vol 556-562 ◽  
pp. 4061-4064
Author(s):  
Xue Ling Jiang ◽  
Chao Yun Long ◽  
Shui Jie Qin ◽  
Li Ping Wang ◽  
Jiang Hui Dong
Keyword(s):  
Cellular Automata ◽  
High Efficiency ◽  
Dynamic Parameter ◽  
Original Model ◽  
Model Based ◽  
Pedestrian Evacuation ◽  
Improved Model ◽  
Account Interaction ◽  
Occupant Evacuation ◽  
Original Dynamic

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.

scholarly journals Modeling and Simulation of Exit Selection Behavior in Pedestrian Evacuation Based on Information Perception and Transmission

2021 ◽  
Vol 13 (23) ◽  
pp. 13194
Author(s):  
Mengting Liu ◽  
Wei Zhu ◽  
Yafei Wang ◽  
Jianchun Zheng
Keyword(s):  
Congestion Avoidance ◽  
Parameter Setting ◽  
Simulation Experiments ◽  
Gas Concentration ◽  
Pedestrian Evacuation ◽  
New Information ◽  
Selection Behavior ◽  
Floor Field ◽  
Simulation Results ◽  
Evacuation Model

This paper aims to present an improved evacuation model, which is capable of simulating individual exit selection behavior based on the acquisition and processing of information, especially in dangerous and unfamiliar environments. Firstly, an evacuation model was improved by the introduction of a floor field of gas concentration and an exit selection model, considering the congestion avoidance and danger avoidance behavior. Secondly, the process of information perception and transmission was studied and introduced into the model with a set of rules. Finally, real experiments in a simple double-exit room were conducted for model validation and parameter setting, and simulation experiments in scenarios with an unknown hazard or unknown exits were conducted to confirm the necessity and rationality of introducing information perception and transmission. The simulation results show that, with the increase in perception distance or trust extent, the pedestrian safety increases. The critical values of perception distance or trust extent, below which some people cannot acquire any new information, vary depending on the pedestrian density. When the density is high, the influence of perception distance or trust extent reduces, and the probability of reselecting an exit increases, which causes the safety of pedestrians to decrease.

A continuous floor field cellular automata model with interaction area for crowd evacuation

2021 ◽  
Vol 575 ◽  
pp. 126049
Author(s):  
Ruifeng Zhao ◽  
Yue Zhai ◽  
Lu Qu ◽  
Ruhao Wang ◽  
Yaoying Huang ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Cellular Automata Model ◽  
Crowd Evacuation ◽  
Floor Field

scholarly journals Heterogeneous cellular automata subway station personnel evacuation model based on cooperative behavior

2020 ◽  
Vol 325 ◽  
pp. 02004
Author(s):  
Jie Zhuang ◽  
Chao Wang ◽  
Yongjiang He ◽  
Runze Song
Keyword(s):  
Cellular Automata ◽  
Field Model ◽  
Cooperative Behavior ◽  
Research Process ◽  
Formation Time ◽  
Subway Station ◽  
Evacuation Time ◽  
Floor Field ◽  
Evacuation Model ◽  
Subway Stations

In order to study the influence of cooperative behavior in the evacuation process of subway station personnel, and considering the heterogeneity of evacuees, the heterogeneous cellular automata method is adopted to establish a human evacuation model of subway station under cooperative behavior based on the floor field model. In the research process, the evacuated persons are divided into two types, which are seeking cooperation and accepting cooperation. Then, the effects of different cooperative behavior probability ratios of seeking cooperative personnel on evacuation efficiency, evacuation process, and evacuation bottleneck are analyzed through simulation. The result shows that cooperative behavior can effectively improve evacuation efficiency of the subway station, but it is limited by cooperative probability and the proportion of people seeking cooperation; Cooperative behavior plays a role in the whole evacuation process, which is mainly reflected in the later stage of evacuation and will promote the gathering of evacuees. The higher the probability of cooperation, the shorter the evacuation bottleneck formation time, the duration, and overall evacuation time, which will help improve the emergency safety of subway stations.

An Integrated Cellular Automata Approach for Spatial Evacuation Simulation on Metro Platforms with Smoke Spreading

2019 ◽  
Vol 2673 (11) ◽  
pp. 851-864
Author(s):  
Zhuping Zhou ◽  
Yang Zhou ◽  
Ziyuan Pu ◽  
Yong Qi ◽  
Yongneng Xu
Keyword(s):  
Cellular Automata ◽  
Three Dimensional ◽  
Control Measures ◽  
Social Force ◽  
Smoke Control ◽  
Evacuation Simulation ◽  
Movement Model ◽  
Metro Station ◽  
Pedestrian Evacuation ◽  
Evacuation Model

To simulate pedestrian evacuation processes on a metro station platform in a case of fire, a specific evacuation model is proposed, using an integrated cellular automata (CA) approach, in which the impacts from exits, other evacuees, and fire and smoke are included to measure the probability of the evacuee getting to each neighboring cell. The evacuation is firstly identified as a two-stage process including the motion on the platform and on the treads. Then the evacuation space is drawn to be a three-dimensional grid space, in which the cell size is defined by the stair structure and human body size. Based on that, this study proposes two CA models to simulate the evacuees’ movement and the smoke diffusion separately. Moreover, to describe the evacuation process in detail, the evacuation model is modified in three ways. First, transition rules in the evacuees’ movement model are embedded by social force theory to measure the impacts from the environment. Second, the smoke diffusion process is modified by considering the smoke control measures on the metro platform. Third, impact from smoke is quantified by the proportion of smoke in the centroid cell of evacuees. Finally, results from simulation experiments show that this model is able to recognize the arching and stagnation phenomenon at the foot of staircases, and the relations between the evacuation time and the crowd density for different parameters are also analyzed. The proposed method of simulating the pedestrian evacuation process can be useful in providing guiding principles for the software design of evacuation in metro systems.

Pedestrian Evacuation Simulation Based on Dynamic Parameter Model with Friction

2014 ◽  
Vol 543-547 ◽  
pp. 1876-1879
Author(s):  
Xue Ling Jiang ◽  
Chao Yun Long ◽  
Shui Jie Qin ◽  
Li Ping Wang ◽  
Jiang Hui Dong
Keyword(s):  
Cellular Automata ◽  
Dynamic Parameter ◽  
High Density ◽  
Dynamic Parameters ◽  
Evacuation Simulation ◽  
Pedestrian Evacuation ◽  
Simulation Based ◽  
Improved Model ◽  
The Impact ◽  
Original Dynamic

An expanded dynamic parameter model is introduced based on cellular automata. In this model friction is modeled quantitatively. The dynamic parameters including direction parameter and empty parameter are formulated to simplify tactically the process of making decisions for pedestrian evacuation. The pedestrian moving rule is modified by bringing in the conception of friction under high density, corresponding simulations of pedestrian evacuation is carried out. The improved model considers the impact of interactions among pedestrians on the evacuation process. Therefore, it is more accordance with actual circumstance than the original dynamic parameters model.

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