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群体中异步行人的稳健空间自组织。

Robust spatial self-organization in crowds of asynchronous pedestrians.

机构信息

Faculty of Information and Human Science, Kyoto Institute of Technology , Kyoto, Japan.

Information and Management Systems Engineering, Nagaoka University of Technology , Niigata, Japan.

出版信息

J R Soc Interface. 2024 May;21(214):20240112. doi: 10.1098/rsif.2024.0112. Epub 2024 May 29.

DOI:10.1098/rsif.2024.0112
PMID:38807528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11338568/
Abstract

Human crowds display various self-organized collective behaviours, such as the spontaneous formation of unidirectional lanes in bidirectional pedestrian flows. In addition, parts of pedestrians' footsteps are known to be spontaneously synchronized in one-dimensional, single-file crowds. However, footstep synchronization in crowds with more freedom of movement remains unclear. We conducted experiments on bidirectional pedestrian flows (24 pedestrians in each group) and examined the relationship between collective footsteps and self-organized lane formation. Unlike in previous studies, pedestrians did not spontaneously synchronize their footsteps unless following external auditory cues. Moreover, footstep synchronization generated by external cues disturbed the flexibility of pedestrians' lateral movements and increased the structural instability of spatial organization. These results imply that, without external cues, pedestrians marching out of step with each other can efficiently self-organize into robust structures. Understanding how asynchronous individuals contribute to ordered collective behaviour might bring innovative perspectives to research fields concerned with self-organizing systems.

摘要

人群表现出各种自组织的集体行为,例如在双向行人流中自发形成单向车道。此外,人们已经知道部分行人的脚步在一维单一路人群中会自发同步。然而,在具有更多自由度的人群中,脚步的同步性仍然不清楚。我们在双向行人流中进行了实验(每组 24 名行人),并研究了集体脚步和自组织车道形成之间的关系。与之前的研究不同,除非跟随外部听觉提示,否则行人不会自发同步他们的脚步。此外,外部提示产生的脚步同步会干扰行人横向运动的灵活性,并增加空间组织的结构不稳定性。这些结果表明,没有外部提示,步伐不一致的行人可以有效地自我组织成稳健的结构。了解异步个体如何有助于有序的集体行为,可能会为关注自组织系统的研究领域带来创新视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/b73c7e66f21b/rsif.2024.0112.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/89be92eccd97/rsif.2024.0112.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/a4da33417d72/rsif.2024.0112.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/9b660a04a126/rsif.2024.0112.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/ea28e6fe19d9/rsif.2024.0112.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/b73c7e66f21b/rsif.2024.0112.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/89be92eccd97/rsif.2024.0112.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/a4da33417d72/rsif.2024.0112.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/9b660a04a126/rsif.2024.0112.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/ea28e6fe19d9/rsif.2024.0112.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ee1/11338568/b73c7e66f21b/rsif.2024.0112.f005.jpg

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Mutual anticipation can contribute to self-organization in human crowds.
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Inertial Measurement Unit-Based Estimation of Foot Trajectory for Clinical Gait Analysis.基于惯性测量单元的足部轨迹估计用于临床步态分析
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