Crowd Simulation for Evacuation Behaviors Based on Multi-agent System and Cellular Automaton

Fu, Yuzhuo; Jia-hong, Liang; Quan-ping, Liu; Hu, Xiaoqian

doi:10.1109/icvrv.2014.52

Cited by 10 publications

(9 citation statements)

References 8 publications

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“…d. Different initial speed Since the evacuation behaviors are strongly related to the circumstance, age, energy, and gender of the pedestrians [62], including the emotional fluctuations of men and women, the speed of the response of the young and the aged, and the personal tolerance of pedestrians. However, in order to broaden the scope of emergency behavior simulation in a disaster, the impact of the proportion of gender and age on the emergency behavior has not been set up clearly.…”

Section: Mas Modelingmentioning

confidence: 99%

MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China

et al. 2020

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The frequent occurrence of urban waterlogging constantly affects cities’ stability, bringing about a lot of economic losses and casualties. Coupled with the deficient rescue activities, waterlogging often exacerbates the impact of urban rainstorm disasters. By setting up a diverse distribution of shelters and various types of pedestrians, the evacuation route choice of pedestrians in an urban rainstorm disaster is simulated and analyzed through multi-agent system simulation. Then, clustering analysis is applied to discover population characteristics in different survival scenarios. The simulations for sustainable rescue after pedestrians reach the shelters are also carried out. It was found that the pedestrians’ herd mentality and the distribution of shelters have a significant impact on the success rate of post-disaster evacuation. The results could help pedestrians to make decisions in the evacuation. The wide scope of the shelters’ allocation facilitates the effect of disaster relief.

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Section: Mas Modelingmentioning

confidence: 99%

MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China

et al. 2020

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“…Based on cellular automata theory and agent modeling, Liu et al established a passenger emergency evacuation model of a civil aviation aircraft considering the influence of the passenger physical characteristics during an emergency escape [5]. Fu et al developed a multi-agent system based on a cellular automata model and then carried out an evacuation simulation considering the individual differences [6]. These pure cellular automata models have usually given less consideration to the characteristics of the subject itself and created rules based on the subject's movement behavior, which leads to the homogeneity of subjects.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, it can be known that A and B are more inclined to go to exit e 2 with less congestion. Therefore, the next goal of A and B will be to choose a neighborhood that can shorten the distance between A and exit e 2 , where the distance between A and exit e 2 is L A−e 2 = (10 − 7.5) 2 + (16 − 6.5) 2 = 9.823 (5)(6) The distance between B and exit e 2 is L B−e 2 = (10 − 9.5) 2 + (16 − 5.5) 2 = 10.512 (5-7)…”

Section: ) Calculation Of the Congestion Valuementioning

confidence: 99%

A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places

2020

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The importance of public spaces in the Chinese population is growing along with China's social and economic development. As a result, the potential for human casualties and economic loss if the emergency evacuation of public space is not timely and effective is also increasing. How to evacuate people from public places quickly and safely is the focus of current research in the field. This paper explores the role of people and the evacuation environment as factors that influence emergency evacuations. Then, an evacuation model is established using cellular automata and agent-hybrid theory. Matlab software is used to simulate the evacuation process of people from a school building in the event of a natural disaster, verifying the effectiveness of the model. At the same time, the model provides ideas for the formulation of relevant evacuation schemes.INDEX TERMS Agent-hybrid, cellular automata, emergency evacuation, public places.

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“…In Nguyen et al (2012) and Lin et al (2012), path planning is based on road network, Qin and Wei (2010) is simulated on a train station, Zhang et al (2015) is a model for evacuation of office building, while others simulated for public places are Solmaz and Turgut (2015) and Wang et al (2014). To model microscopic behavior, laws based on Physics (Ferscha and Zia, 2010;Gerritsen 2011;Zheng and Cheng, 2011) or Cellular Automaton (CA) (Wang et al, 2014;Ferscha and Zia, 2009;Fu et al, 2014;Zia et al, 2016;Zhang et al, 2015;Tang et al, 2015) have been used.…”

Section: Related Workmentioning

confidence: 99%

Modeling human factors influencing herding during evacuation

Zafar

Zia

Saini

et al. 2017

IJPCC

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Purpose-It has been witnessed that many incidents of crowd evacuation have resulted in catastrophic results, claiming lives of hundreds of people. Most of these incidents were a result of localized herding that eventually turned into global panic. Many crowd evacuation models have been proposed with different aspects of interests. The purpose of this paper is to attempt to bring together many of these aspects to study evacuation dynamics. Design/methodology/approach-The proposed agent-based model, in a hypothetical physical environment, uses perception maps for routing decisions which are constructed from agents' personal observations of the surroundings as well as information gathered through distant communication. Communication is governed by a trust model which measures the authenticity of the information being shared. Agents are of two types; emotional and rational. The trust model is combined with a game-theoretic model to resolve conflict of agents' own type with that of types of agents in the neighborhood.

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Crowd Simulation for Evacuation Behaviors Based on Multi-agent System and Cellular Automaton

Cited by 10 publications

References 8 publications

MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China

MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China

A Cellular-Automaton Agent-Hybrid Model for Emergency Evacuation of People in Public Places

Modeling human factors influencing herding during evacuation

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