Analysis of Crowd Behaviour Theories in Panic Situation

Sharbini, Hamizan; Bade, Abdullah

doi:10.1109/icimt.2009.96

Cited by 7 publications

(5 citation statements)

References 24 publications

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“…In the real world, emotional state of an individual plays a vital role in his/her decision-making, which fundamentally determines his/her movements at each time step [19], [20]. Therefore, many recent works start to consider the psychological factors of agents, especially during the simulating process of crowd movement [21].…”

Section: Crowd Simulation With Psychological Modelmentioning

confidence: 99%

Crowd Behavior Simulation With Emotional Contagion in Unexpected Multihazard Situations

Xie

et al. 2019

IEEE Trans. Syst. Man Cybern, Syst.

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Numerous research efforts have been conducted to simulate crowd movements, while relatively few of them are specifically focused on multi-hazard situations. In this paper, we propose a novel crowd simulation method by modeling the generation and contagion of panic emotion under multi-hazard circumstances. In order to depict the effect from hazards and other agents to crowd movement, we first classify hazards into different types (transient and persistent, concurrent and nonconcurrent, static and dynamic) based on their inherent characteristics. Second, we introduce the concept of perilous field for each hazard and further transform the critical level of the field to its invoked-panic emotion. After that, we propose an emotional contagion model to simulate the evolving process of panic emotion caused by multiple hazards. Finally, we introduce an Emotional Reciprocal Velocity Obstacles (ERVO) model to simulate the crowd behaviors by augmenting the traditional RVO model with emotional contagion, which for the first time combines the emotional impact and local avoidance together. Our experiment results demonstrate that the overall approach is robust, can better generate realistic crowds and the panic emotion dynamics in a crowd. Furthermore, it is recommended that our method can be applied to various complex multi-hazard environments.

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Section: Crowd Simulation With Psychological Modelmentioning

confidence: 99%

Crowd Behavior Simulation With Emotional Contagion in Unexpected Multihazard Situations

Xie

et al. 2019

IEEE Trans. Syst. Man Cybern, Syst.

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“…Quando as pessoas encontramse em perigo, suas personalidades conscientes habituais podem ser substituídas por personalidades inconscientes que as levam a agir irracionalmente [14], e não apenas a ficarem paradas. …”

Section: ) Resolução De Conflitosunclassified

Crowd Evacuation Using Cellular Automata: Simulation in a Soccer Stadium

Carneiro

Cavalcante-Neto

Vidal

et al. 2013

2013 XV Symposium on Virtual and Augmented Reality

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In this work, we propose a for simulating and studying crowd evacuati apply it to study the evacuation of a soccer sta uses 2D cellular automata defined over mu represent different levels of the simulated pedestrian moves from a given grid cell analyzing multiple movement options and r with other pedestrians. Validation tests w demonstrating that the proposed model is crowd evacuation successfully.

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“…By solving (11), we will get two values for d 12 and d 23 distances. The solution correct from the physics point of view is the first one.…”

Section: Coulomb's Lawmentioning

confidence: 99%

“…For example, people who come together will also tend to leave together. Therefore, family members will try to be together before making the decision to exit [10][11][12]. Some people, depending on their role (e.g.,: owner, employees etc.)…”

Section: Introductionmentioning

confidence: 99%

Crowd Evacuation for Indoor Public Spaces Using Coulomb’s Law

Kamkarian

Hexmoor

2012

Advances in Artificial Intelligence

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This paper focuses on designing a tool for guiding a group of people out of a public building when they are faced with dangerous situations that require immediate evacuation. Despite architectural attempts to produce safe floor plans and exit door placements, people will still commit to fatal route decisions. Since they have access to global views, we believe supervisory people in the control room can use our simulation tools to determine the best courses of action for people. Accordingly, supervisors can guide people to safety. In this paper, we combine Coulomb's electrical law, graph theory, and convex and centroid concepts to demonstrate a computer-generated evacuation scenario that divides the environment into different safe boundaries around the locations of each exit door in order to guide people through exit doors safely and in the most expedient time frame. Our mechanism continually updates the safe boundaries at each moment based on the latest location of individuals who are present inside the environment. Guiding people toward exit doors depends on the momentary situations in the environment, which in turn rely on the specifications of each exit door. Our mechanism rapidly adapts to changes in the environment in terms of moving agents and changes in the environmental layout that might be caused by explosions or falling walls.

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Analysis of Crowd Behaviour Theories in Panic Situation

Cited by 7 publications

References 24 publications

Crowd Behavior Simulation With Emotional Contagion in Unexpected Multihazard Situations

Crowd Behavior Simulation With Emotional Contagion in Unexpected Multihazard Situations

Crowd Evacuation Using Cellular Automata: Simulation in a Soccer Stadium

Crowd Evacuation for Indoor Public Spaces Using Coulomb’s Law

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