Cellular Automata Model for Crowd Behavior Management in Airports

Mitsopoulou, Martha; Dourvas, Nikolaos I.; Georgoudas, Ioakeim G.

doi:10.1007/978-3-030-43222-5_39

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…In addition to field theory, the A* algorithm has also been used to assist pedestrians in determining exit routes and avoiding obstacles. 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.…”

Section: Path Planning Algorithmsmentioning

confidence: 99%

“…Wu et al 24 considered the pedestrian's view when calculating paths using a potential field to simulate pedestrians' actual exit selection behavior. In addition to field theory, the A* algorithm has also been used to assist pedestrians in determining exit routes and avoiding obstacles 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.…”

Section: Related Workmentioning

confidence: 99%

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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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Section: Path Planning Algorithmsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Seismic evacuation simulation in a dynamic indoor environment

Chu

Liu

et al. 2022

Computer Animation & Virtual

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“…For example, Konstantara et al [ 15 ] classified an evacuation crowd according to the moving speed of pedestrians and proposed a cellular automaton model to study the role of professionals in assisting the elderly with weak mobility during an evacuation. Considering the disability of pedestrians, Mitsopoulou et al [ 16 ] divided the evacuation crowd into six categories, established an agent-based model to simulate the evacuation process of heterogeneous crowds, and analyzed the impact of the physical and psychological attributes of disabled people on crowd evacuation. In particular, small social groups have gained increasing attention in relation to crowd evacuation.…”

Section: Related Workmentioning

confidence: 99%

An Entropy-Based Combined Behavior Model for Crowd Evacuation

Chen

Wang

2022

Entropy

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Crowd evacuation has gained increasing attention due to its importance in the day-to-day management of public areas. During an emergency evacuation, there are a variety of factors that need to be considered when designing a practical evacuation model. For example, relatives tend to move together or look for each other. These behaviors undoubtedly aggravate the chaos degree of evacuating crowds and make evacuations hard to model. In this paper, we propose an entropy-based combined behavior model to better analyze the influence of these behaviors on the evacuation process. Specifically, we utilize the Boltzmann entropy to quantitatively denote the degree of chaos in the crowd. The evacuation behavior of heterogeneous people is simulated through a series of behavior rules. Moreover, we devise a velocity adjustment method to ensure the evacuees follow a more orderly direction. Extensive simulation results demonstrate the effectiveness of the proposed evacuation model and provide useful insights into the design of practical evacuation strategies.

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