floor field
Recently Published Documents


TOTAL DOCUMENTS

83
(FIVE YEARS 23)

H-INDEX

16
(FIVE YEARS 4)

2022 ◽  
Author(s):  
Guan-ning Wang ◽  
Tao Chen ◽  
Jin-wei Chen ◽  
Kaifeng Deng ◽  
Ru-dong Wang

Abstract The study of the panic evacuation process is of great significance to emergency management. Panic not only causes negative emotions such as irritability and anxiety, but also affects the pedestrians decision-making process, thereby inducing the abnormal crowd behavior. Prompted by the epidemiological SIR model, an extended floor field cellular automaton model was proposed to investigate the pedestrian dynamics under the threat of hazard resulting from the panic contagion. In the model, the conception of panic transmission status (PTS) was put forward to describe pedestrians' behavior who could transmit panic emotions to others. The model also indicated the pedestrian movement was governed by the static and hazard threat floor field. Then rules that panic could influence decision-making process were set up based on the floor field theory. The simulation results show that the stronger the pedestrian panic, the more sensitive pedestrians are to hazards, and the less able to rationally find safe exits. However, when the crowd density is high, the panic contagion has a less impact on the evacuation process of pedestrians. It is also found that when the hazard position is closer to the exit, the panic will propagate for a longer time and have a greater impact on the evacuation. The results also suggest that as the extent of pedestrian's familiarity with the environment increases, pedestrians spend less time to escape from the room and are less sensitive to the hazard. In addition, it is essential to point out that, compared with the impact of panic contagion, the pedestrian's familiarity with environment has a more significant influence on the evacuation.


2021 ◽  
Vol 13 (23) ◽  
pp. 13194
Author(s):  
Mengting Liu ◽  
Wei Zhu ◽  
Yafei Wang ◽  
Jianchun Zheng

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.


2021 ◽  
Vol 13 (19) ◽  
pp. 10621
Author(s):  
Jinrui Liu ◽  
Maosheng Li ◽  
Panpan Shu

The micro-pedestrian simulation model represented by the cellular automata model is an important simulation model. Improvements in various aspects enable a better description of the various behaviors of pedestrians, such as pedestrian avoidance behavior, companion behavior, as well as transcendence behavior, waiting behavior and detour behavior. This paper takes the pedestrian detour behavior in the circle antipode experiment as the main entry point. The subdivision cellular automaton model is integrated into the prediction field to model and simulate the detour behavior. At the same time, it explores the degree of subdivision of the cell. Pedestrian heterogeneity and the influence of predicted field potential energy on the simulated pedestrian trajectory. Finally, based on the temporal and spatial indicators of pedestrian trajectory characteristics, the KS test and DTW method are used to evaluate the similarity of the trajectory distribution characteristics and time series characteristics with experimental samples, and evaluate and compare models with or without heterogeneity. The results show that the trajectory characteristics of heterogeneous pedestrians are closer to the experiment than homogeneous pedestrians.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Qian Xiao ◽  
Jiayang Li

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.


2021 ◽  
Vol 575 ◽  
pp. 126049
Author(s):  
Ruifeng Zhao ◽  
Yue Zhai ◽  
Lu Qu ◽  
Ruhao Wang ◽  
Yaoying Huang ◽  
...  

2021 ◽  
pp. 1-10
Author(s):  
Xiao-Ge Wei ◽  
Guan-Jun Zhao ◽  
You-Xin Li ◽  
Heng-Jie Qin ◽  
Huai-Tao Song ◽  
...  

Groups are commonly found in general crowds and their behaviors are distinguished from that of isolated pedestrians. Thus, in recent five years researchers have started to investigate pedestrian group movement. In this paper, we considered group walking effect and introduced group floor field to the traditional floor field model. Furthermore, two different methods of generating group floor field were put forward, i.e. group center generation (method 1 for short) and group leader generation (method 2 for short), and we applied the proposed group model to simulate bidirectional pedestrian flow in a corridor. No matter which method of generating group floor field is adopted, the simulation results show that group members walk slower than singles, and with the group size increasing the transition point from the free flow phase to the jamming has a decrease trend. In addition, it seems that method 2 of generating group floor field makes group more cohesive and stable at the same crowd density than method 1. Afterwards it is found that the crowd with large group size is more easily affected by asymmetric injection rate. At last, people’s walking preference is shortly discussed, and it is obtained that people’s walking preference is also good for group movement from the perspective of movement efficiency.


2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Qian Xiao ◽  
Jiayang Li

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.


2020 ◽  
Vol 29 (9) ◽  
pp. 098901
Author(s):  
Da-Hui Qin ◽  
Yun-Fei Duan ◽  
Dong Cheng ◽  
Ming-Zhu Su ◽  
Yong-Bo Shao

Sign in / Sign up

Export Citation Format

Share Document