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相关论文: Crowd turbulence: the physics of crowd disasters

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Many observations in the dynamics of pedestrian crowds, including various self-organization phenomena, have been successfully described by simple many-particle models. For ethical reasons, however, there is a serious lack of experimental…

物理与社会 · 物理学 2007-05-23 Dirk Helbing , Anders Johansson , Habib Zein Al-Abideen

The study of crowd dynamics is interesting because of the various self-organization phenomena resulting from the interactions of many pedestrians, which may improve or obstruct their flow. Besides formation of lanes of uniform walking…

物理与社会 · 物理学 2008-10-28 Anders Johansson , Dirk Helbing , Habib Z. Al-Abideen , Salim Al-Bosta

Each year, crowd disasters happen in different areas of the world. How and why do such disasters happen? Are the fatalities caused by relentless behavior of people or a psychological state of panic that makes the crowd 'go mad'? Or are they…

混沌动力学 · 物理学 2012-06-27 Dirk Helbing , Pratik Mukerji

One of the most disastrous forms of collective human behaviour is the kind of crowd stampede induced by panic, often leading to fatalities as people are crushed or trampled. Sometimes this behaviour is triggered in life-threatening…

统计力学 · 物理学 2009-10-31 Dirk Helbing , Illes Farkas , Tamas Vicsek

A recent study [D. Helbing, A. Johansson and H. Z. Al-Abideen, {\it Phys. Rev. E} 75, 046109 (2007)] has revealed a "turbulent" state of pedestrian flows, which is characterized by sudden displacements and causes the falling and trampling…

物理与社会 · 物理学 2009-11-13 Wenjian Yu , Anders Johansson

Concerts, protests, and sporting events are occurring with increasing frequency and magnitude. The extreme physical conditions common to these events are known to cause injuries and loss-of-life due to the emergence of collective motion…

物理与社会 · 物理学 2018-09-25 Arianna Bottinelli , Jesse L. Silverberg

This contribution describes efforts to model the behavior of individual pedestrians and their interactions in crowds, which generate certain kinds of self-organized patterns of motion. Moreover, this article focusses on the dynamics of…

物理与社会 · 物理学 2013-09-09 Dirk Helbing , Anders Johansson

It is common for large crowds to gather to attend games, exhibitions, political rallies, and other events. Thus, careful designs and operational plans are made to ensure the safe, secure, and efficient movement of people in these crowded…

人机交互 · 计算机科学 2020-02-26 Tomoichi Takahashi

Extreme events, such as rogue waves, earthquakes and stock market crashes, occur spontaneously in many dynamical systems. Because of their usually adverse consequences, quantification, prediction and mitigation of extreme events are highly…

混沌动力学 · 物理学 2018-03-19 Mohammad Farazmand , Themistoklis P. Sapsis

Despite recent advances in uncovering the quantitative features of stationary human activity patterns, many applications, from pandemic prediction to emergency response, require an understanding of how these patterns change when the…

物理与社会 · 物理学 2011-06-06 James P. Bagrow , Dashun Wang , Albert-László Barabási

Fatal crush conditions occur in crowds with tragic frequency. Event organisers and architects are often criticised for failing to consider the causes and implications of crush, but the reality is that the prediction and mitigation of such…

多智能体系统 · 计算机科学 2010-08-13 Peter J. Harding , Steve M. V. Gwynne , Martyn Amos

Human collective behavior can vary from calm to panicked depending on social context. Using videos publicly available online, we study the highly energized collective motion of attendees at heavy metal concerts. We find these extreme social…

物理与社会 · 物理学 2013-06-05 Jesse L. Silverberg , Matthew Bierbaum , James P. Sethna , Itai Cohen

In recent years modelling crowd and evacuation dynamics has become very important, with increasing huge numbers of people gathering around the world for many reasons and events. The fact that our global population grows dramatically every…

物理与社会 · 物理学 2015-01-28 Mohamed H. Dridi

Although the traits emerged in a mass gathering are often non-deliberative, the act of mass impulse may lead to irre- vocable crowd disasters. The two-fold increase of carnage in crowd since the past two decades has spurred significant…

计算机视觉与模式识别 · 计算机科学 2017-11-01 Ven Jyn Kok , Mei Kuan Lim , Chee Seng Chan

Dense pedestrian crowds may pose significant safety risks, yet their underlying dynamics remain insufficiently understood to reliably prevent accidents. In these environments, physical interactions and contact forces fundamentally shape the…

物理与社会 · 物理学 2025-05-12 Thomas Chatagnon , Antoine Tordeux , Mohcine Chraibi

Understanding movement in heterogeneous groups is important for a meaningful evaluation of evacuation prediction and for a proper design of buildings. The understanding of interactions and influencing factors in heterogeneous groups on key…

物理与社会 · 物理学 2018-12-11 Paul Geoerg , Jette Schumann , Maik Boltes , Stefan Holl , Anja Hofmann

Clogging raises as the principal phenomenon during many evacuation processes of pedestrians in a panic situation. As people push to escape from danger, compression forces may increase to harming levels. Many individuals might fall down,…

物理与社会 · 物理学 2017-06-07 F. E. Cornes , G. A. Frank , C. O. Dorso

Under panicky situation, human have tendency to rush toward a particular direction for escape. I show here that this tendency alone causes increase in crowding and which could eventually trigger jamming that is not preferable. Further, it…

物理与社会 · 物理学 2007-05-23 R. V. R. Pandya

Security plays a crucial role when it comes to planning large events such as concerts, sporting tournaments, pilgrims, or demonstrations. Monitoring and controlling pedestrian dynamics can prevent dangerous situations from occurring.…

物理与社会 · 物理学 2025-03-26 Sina Feldmann , Juliane Adrian

Cluster media are dynamical, not static; observational evidence suggests they are turbulent. High-resolution simulations of the intracluster media (ICMs) and of idealized, similar media help us understand the complex physics and…

宇宙学与河外天体物理 · 物理学 2011-01-24 T. W. Jones , David H. Porter , Dongsu Ryu , Jungyeon Cho
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