Application of bug navigation algorithms for large-scale agent-based evacuation modeling to support decision making

Haghpanah, Fardad; Schafer, Benjamin W.; Castro, Sebastián

doi:10.1016/j.firesaf.2021.103322

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…Two types of evacuation simulation models can be encountered in the scientific research: macroscopic and microscopic [24]. In the macroscopic models the crowds are considered as a single homogenous population, whereas the microscopic models rely on considering individual behavior and interactions.…”

Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

“…One of the disadvantages of using such an approach is related to the fact that it does not properly incorporate the different individuals' behavior. Another one is related to the difficulty in implementation due to the relatively high number of nonlinear differential equations and the hypothesis needed for properly establishing those equations [24].…”

Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

“…On the other hand, the microscopic models succeed in passing these shortcomings, but have been proven to become expensive due to the complexity they exhibit for very large populations or environments [24]. In order to reduce the complexity of the microscopic models, one can either choose to reduce the complexity of the characteristics and interactions of the considered population, or choose to reduce the complexity of the environment.…”

Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

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Large Event Halls Evacuation Using an Agent-Based Modeling Approach

et al. 2022

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The paper explores the usage of agent-based modeling in the context of large event halls evacuation during music festivals and cultural events. An agent-based model is created in NetLogo 6.2.2 for better representing the human behavior when involved in such situations. A series of characteristics have been set for the agents in order to preserve their heterogeneity in terms of speed, age, locomotion impairment, familiarity with the environment, evacuating with another person, choosing the closest exit or not, selecting the closest path to the exits. An "adapted cone exit" approach has been proposed in the paper in order to facilitate the guidance of the agents in the agent-based model to the closest exit and its advantages have been proved in comparison with the classical "cone exit" approach. Different evacuation scenarios have been simulated and analyzed for better observing the capabilities of evacuation modeling in the case of evacuation emergencies. Besides the overall evacuation time, an average evacuation time has been determined for the agents based on the individual evacuation time, which can be easily connected with a risk indicator associated to each situation. Due to the visual interface offered by the agent-based model, coupled with the evacuation indicators, the proposed model can allow the identification of the main factors that may contribute to a prolonged evacuation process (e.g. overcrowding at one of the exits, not choosing the appropriate door, evacuating with a friend/parent) and the potential measures to be considered for insuring a safe evacuation process.

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Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

Section: Theoretical Background and State Of The Art On Evacuationmentioning

confidence: 99%

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Large Event Halls Evacuation Using an Agent-Based Modeling Approach

et al. 2022

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“…25 Liu et al 26 employed a modified artificial bee colony algorithm to assess crowd congestion near multiple exits to maximize evacuation efficiency by selecting the optimal pedestrian exit. Haghpanah et al 27 used the Bug algorithm to enable pedestrians to find exits randomly without prior knowledge of the environment. However, none of the above path planning algorithms consider the changes of obstacles.…”

Section: Path Planning Algorithmsmentioning

confidence: 99%

Seismic evacuation simulation in a dynamic indoor environment

Chu

Liu

et al. 2022

Computer Animation & Virtual

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During an earthquake, interior nonstructural components of a building will be damaged. The damaged objects will obstruct pedestrians' evacuation routes and increase casualties. But this issue has received scant attention in evacuation simulation research. This paper focuses on this issue and proposes an indoor seismic evacuation model to simulate crowd evacuation in a dynamic environment.A physical model of nonstructural components is presented to simulate the dynamics of the indoor scenario. The flow field algorithm is constructed to guide pedestrian's avoidance behaviors globally to reflect the impact of environmental changes on indoor crowd path selection, and a modified social force model is built to simulate the joint influence of seismic forces and the environment on pedestrian motion states. The results of the experiments shows that the proposed model can generate realistic evacuation scene and rational evacuation routes in the earthquake.

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“…In the context of evacuation, ABM has been used to simulate evacuation of cities, buildings, terminals, etc. [ [29] , [30] , [31] , [32] ] Although such studies consider heterogeneous populations, they do not consider evacuees with especial mobility needs or limitations. In this regard, there are few studies that have considered the heterogeneous characteristics of patients and evacuees with disabilities.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-hazard hospital evacuation planning during disease outbreaks using agent-based modeling

Haghpanah

Ghobadi

Schafer

2021

International Journal of Disaster Risk Reduction

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As different types of hazards, including natural and man-made, can occur simultaneously, to implement an integrated and holistic risk management, a multi-hazard perspective on disaster risk management, including preparedness and planning, must be taken for a safer and more resilient society. Considering the emerging challenges that the COVID-19 pandemic has been introducing to regular hospital operations, there is a need to adapt emergency plans with the changing conditions, as well. Evacuation of patients with different mobility disabilities is a complicated process that needs planning, training, and efficient decision-making. These protocols need to be revisited for multi-hazard scenarios such as an ongoing disease outbreak during which additional infection control protocols might be in place to prevent transmission. Computational models can provide insights on optimal emergency evacuation strategies, such as the location of isolation units or alternative evacuation prioritization strategies. This study introduces a non-ICU patient classification framework developed based on available patient mobility data. An agent-based model was developed to simulate the evacuation of the emergency department at the Johns Hopkins Hospital during the COVID-19 pandemic due to a fire emergency. The results show a larger nursing team can reduce the median and upper bound of the 95% confidence interval of the evacuation time by 36% and 33%, respectively. A dedicated exit door for COVID-19 patients is relatively less effective in reducing the median time, while it can reduce the upper bound by more than 50%.

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Application of bug navigation algorithms for large-scale agent-based evacuation modeling to support decision making

Cited by 12 publications

References 29 publications

Large Event Halls Evacuation Using an Agent-Based Modeling Approach

Large Event Halls Evacuation Using an Agent-Based Modeling Approach

Seismic evacuation simulation in a dynamic indoor environment

Multi-hazard hospital evacuation planning during disease outbreaks using agent-based modeling

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