A force-driven model for passenger evacuation in bus fires

Li, Zhenning; Xu, Cheng‐Zhong; Bian, Zilin

doi:10.1016/j.physa.2021.126591

Cited by 7 publications

(1 citation statement)

References 39 publications

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“…Thus, whereas macroscopic approaches will often consider the crowd as a continuous medium whose flow is to be modeled, e.g., see [2,8], microscopic models will focus on the pedestrians -the individual components of the crowdand model the crowd behavior as an emergent property of the collective behavior of those individual agents. The latter models can be further divided into two major categories, namely models based on social forces (in which pedestrians are particles in a continuous space, subject to different forces resulting from their interaction with the environment and other particles, e.g., [3,12]), and cellularautomaton (CA) models (in which the environment is modeled as a discrete grid, and pedestrians transition between these following some predefined rules, e.g., [16,18]). We refer to [4,13] for a more in-depth survey of all these approaches.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments

Cotta,

Gallardo

2024

Lecture Notes in Computer Science

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The problem of finding the optimal placement of emergency exits in an indoor environment to facilitate the rapid and orderly evacuation of crowds is addressed in this work. A cellular-automaton model is used to simulate the behavior of pedestrians in such scenarios, taking into account factors such as the environment, the pedestrians themselves, and the interactions among them. A metric is proposed to determine how successful or satisfactory an evacuation was. Subsequently, two metaheuristic algorithms, namely an iterated greedy heuristic and an evolutionary algorithm (EA) are proposed to solve the optimization problem. A comparative analysis shows that the proposed EA is able to find effective solutions for different scenarios, and that an island-based version of it outperforms the other two algorithms in terms of solution quality.

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