Multi-agent modeling and simulation of human behavior in aircraft evacuations

Sharma, Sharad; Singh, Harpreet; Prakash, Atul

doi:10.1109/taes.2008.4667723

Cited by 70 publications

(25 citation statements)

References 19 publications

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“…The application of AvatarSim model is also extended to simulate battle field scenarios [23] and aircraft evacuation scenarios [24]. However this paper only shows the building evacuation scenario that is modeled after a real-time lecture hall.…”

Section: Group Behavior and Simulationmentioning

confidence: 99%

Simulation and modeling of group behavior during emergency evacuation

Sharma

2009

2009 IEEE Symposium on Intelligent Agents

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Modeling group behavior is very critical in the context of simulations designed for training personals or evacuation decision making strategies. The behavior of agents in such simulations plays a very important role. Agent behavior in complex environments such as emergency evacuation scenario involves collaboration with other agents. A simple example can be a group of people in a building trying to reach an exit by minimizing their travel time. A further complex situation would be involving several group of people trying to reach multiple exits. This paper describes how complex simulation environments involving group behavior can be constructed by fusing human behavior into the simulation. The developed prototype system is able to demonstrate some emergent human social behaviors, such as competitive, queuing, and herding behaviors. 1) Psychological factors: Anger, Stress, panic 2) Environmental factors: Smoke, terrain, Smoothness 3) Physical factors: observer visibility, fitness, agility Non-Fuzzy behavior factors include the goal following attributes such as favorite goal, wait time, speed, and size of

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Section: Group Behavior and Simulationmentioning

confidence: 99%

Simulation and modeling of group behavior during emergency evacuation

Sharma

2009

2009 IEEE Symposium on Intelligent Agents

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“…For all kinds of disasters there are evacuation simulation models suggested. Concerning traffic and transport evacuations ( [1], [18]), for wildfires ( [2]), buildings and building fires ( [3], [5], [6], [8], [10], [12], [14]), concerning hurricanes ( [4], [19], [21]), for maritime evacuations ( [11], [7]), evacuations during aircraft accidents ( [16], [17]), evacuations from accidents in plants and regions ( [13]), and for evacuations of hospitals ( [20]). …”

Section: Evacuation Models; Some Assumptionsmentioning

confidence: 99%

Evacuation models and disaster psychology

Vorst

2010

Procedia Engineering

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In evacuation models of buildings, neighborhoods, areas, cities and countries important psychological parameters are not frequently used. In this paper the relevance of some important variables from disaster psychology will be discussed. Modeling psychological variables will enhance prediction of human behavior during evacuations. John Leach's Dynamic Disaster Model describes three phases and five stages: A Pre-impact phase (Threat Stage and Warning Stage), an Impact phase, and a Post-impact phase (Recoil Stage, Rescue Stage and Post-traumatic Stage). In each phase and stage specific human behavior has been supposed to be a psychological response to a disaster. These responses are remarkably consistent and transferable across kinds of disasters. Evacuation happens during Pre-impact phase, Impact phase and Post-impact phase (Recoil Stage and, or Rescue Stage). People's cognitive and emotional states and overt behavior will be very different across the phases. During the Pre-impact phase risk estimation is very low, so evacuation is not seen as an inevitable action. Heavy stress and denial of life-threatening events during the Impact phase will hinder effective evacuation. Inactivity, apathy and childlike dependency on other people during the Recoil Stage will restrain survivors from active evacuation. Evacuation models will be more effective if phases and accompanying human behavior are taken into account. The Human Factor during evacuation; an exampleIn the south and east of the Netherlands there is a risk of extreme flooding of the river deltas each year during spring. The risk will be greater in the near future, caused by changes of the earth climate, which are currently predicted. The climate change will bring more rain to Europe and the Netherlands. In the same time period there will be Dutch Carnival in the south and east of the Netherlands. During four days a significant part of the community is involved in drinking, eating, singing and dancing day and night. Families are scattered over many places.It is absolutely not inconceivable that an extreme flooding will take place on the last day of the Carnival, a Tuesday. Within hours, the partying people would have to change into evacuees. These evacuees are at that moment exhausted (60% by our estimation), drunk or at least tipsy (30%), or disoriented (20%). Most people will not be able

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“…Here, values 1 and 0 respectively represent complete membership and complete lack of membership, while intermediate values denote intervening degrees of membership. According to this definition of the fuzzy set, it has been extended to handling ambiguous events through linguistic rules [50][51][52]. Dell'Orco et al [53] proposed a microscopic model of crowd evacuation defined on a continuous space, and used fuzzy logic technique to reproduce human reasoning.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room

Song

2016

Physics Letters A

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Multi-agent modeling and simulation of human behavior in aircraft evacuations

Cited by 70 publications

References 19 publications

Simulation and modeling of group behavior during emergency evacuation

Simulation and modeling of group behavior during emergency evacuation

Evacuation models and disaster psychology

A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room

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