基于元胞自动机整合博弈论的人群疏散冲突仿真

Junxiao Xue, Hao-Chun Yang, Minghchuang Zhang, Zekun Wang, Lei Shi
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引用次数: 0

摘要

在人群聚集的情况下制定和演练人群疏散方案,可以提高疏散效率,减少安全事故的发生。然而,在人群疏散过程中,行人会与其他行人竞争疏散路线,从而产生资源冲突。受元胞自动机和博弈论的启发,本文提出了一种将元胞自动机和博弈论相结合的人群疏散模型,以解决疏散过程中行人之间的冲突。在模型构建中,我们利用元胞自动机构建了基本的人群疏散模型,根据囚徒困境制定了行人冲突的博弈规则,并将行人的更新策略融入元胞自动机中。通过对比更新策略和非更新策略验证了模型的有效性,并通过构建体育馆场景对人群疏散过程进行了可视化模拟。实验结果表明,考虑行人冲突博弈规则的人群疏散模型更符合实际,如果行人采取合作策略,可以提高人群疏散效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crowd Evacuation Conflicts Simulation Based Cellular Automaton Integrating Game Theory
Developing and rehearsing crowd evacuation plans in crowd gathering situations can improve evacuation efficiency and reduce safety accidents. However, pedestrians can create resource conflicts with other pedestrians competing for evacuation routes during crowd evacuation. Inspired by cellular automata and game theory, this paper proposes a crowd evacuation model that integrates cellular automata and game theory to solve the conflicts among pedestrians in the evacuation process. In the model construction, we construct a basic crowd evacuation model using a cellular automaton, formulate a game rule for pedestrians’ conflict according to the prisoner’s dilemma, and integrate the pedestrians’ update strategy into the cellular automaton. The model’s validity is verified in the experiments by comparing the update and non-update strategies, and the crowd evacuation is visualized and simulated by constructing a stadium scenario. The experimental results show that the crowd evacuation model incorporating the pedestrian conflict game rules is more realistic and will improve the crowd evacuation efficiency if the pedestrians adopt the cooperative strategy.
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