无维数显示了行人群的结构和动态的不同模式
Jakob Cordes1,2, Andreas Schadschneider2, Alexandre Nicolas3
1Institute of Advanced Simulation, Forschungszentrum Jülich, 52428 Jülich, Germany.
PNAS nexus
|April 5, 2024
概括
新的无维数,入侵和回避数,分类人群流动. 这些数字揭示了基于个人空间入侵和碰撞风险的不同人群行为,改善了行人动态模型.
科学领域:
- 流体力学的流体力学
- 社会动态 社会动态
- 复杂的系统复杂的系统.
背景情况:
- 像雷诺兹数这样的无维数对于分类流体流动至关重要.
- 了解人群动态对于人口密集地区的安全和效率至关重要.
研究的目的:
- 引入和验证用于分类人群流动的新无维数.
- 根据行人互动,识别人群行为中的不同模式.
主要方法:
- 开发入侵和避开数字来量化行人空间和碰撞迫在眉.
- 对大量人群移动数据集的分析.
- 个人行人动态的扰乱性扩张.
主要成果:
- 侵入和避开的数字有效地划分了不同的人群流动制度.
- 群众排列的特点是低的欧几里德距离 避免数.
- 群众安排的特点是低入侵者数量的碰撞时间.
- 一个扰动扩张模型在适用的状态下表现良好.
结论:
- 拟议的无维数为分析人群动态提供了一个新的框架.
- 这些数字为行人互动的基本特征提供了洞察力.
- 开发的模型增强了对人群行为的理解和预测.
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