Sparse Game Changers Restore Collective Motion in Panicked Human Crowds

Kulkarni, Ajinkya; Thampi, Sumesh P.; Panchagnula, Mahesh V.

doi:10.1103/physrevlett.122.048002

Cited by 26 publications

(21 citation statements)

References 43 publications

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“…The inter agents interaction force are modelled as 59,60 ,where , is the separation between two agents i and j in terms of position vectors and and diameters d i and d j for all neighbouring agents j . Here, represents the direction of the line joining the agents.…”

Section: Methodsmentioning

confidence: 99%

Confined System Analysis of a Predator-Prey Minimalistic Model

Mohapatra

Mahapatra

2019

Sci Rep

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In nature exists a properly defined food chain- an order of hunting and getting hunted. One such hunter-hunted pair is considered in this context and coordinated escape manoeuvres in response to predation is studied in case of a rarely examined confined system. Both the predator agent and prey agents are considered to be self-propelled particles moving in a viscous fluid. The state of motility when alive and passivity on death has been accounted for. A novel individual-based combination of Vicsek model and Boids flocking model is used for defining the self-propelling action and inter-agent interactions. The regimes observed at differing levels of co-ordination segregated by quantification of global order parameter are found to be in agreement with the extant literature. This study strives to understand the penalty on the collective motion due to the restraints employed by the rigid walls of the confinement and the predator’s hunting tactics. The success of any escape manoeuvre is dependent on the rate of information transfer and the strength of the agitation at the source of the manoeuvre. The rate of information transfer is studied as a function of co-ordination and the size of the influence zone and the source strength is studied as a function of escape acceleration activated on the agitated prey. The role of these factors in affecting survival rate of prey is given due coverage.

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Section: Methodsmentioning

confidence: 99%

Confined System Analysis of a Predator-Prey Minimalistic Model

Mohapatra

Mahapatra

2019

Sci Rep

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“…The authors in [12] have developed a multi-class continuum modeling based on social force model to simulate bilinear crowd flows. The authors in [13] have developed a dynamic variant of Vicsek model to study collective motion in panicked human crowds.…”

Section: A Related Workmentioning

confidence: 99%

“…It has been discussed in the previous section that majority of the existing crowd analysis frameworks fail to describe the random movements in crowd. The authors in [13] have described the crowd model in terms of modified Vicsek model. However, the model force components are not clearly explained with respect to crowd dynamics.…”

Section: B Motivation and Contributionsmentioning

confidence: 99%

Understanding Crowd Flow Movements Using Active-Langevin Model

Behera¹,

Dogra²,

Bandyopadhyay³

et al. 2020

Preprint

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Crowd flow describes the elementary group behavior of crowds. Understanding the dynamics behind these movements can help to identify various abnormalities in crowds. However, developing a crowd model describing these flows is a challenging task. In this paper, a physics-based model is proposed to describe the movements in dense crowds. The crowd model is based on active Langevin equation where the motion points are assumed to be similar to active colloidal particles in fluids. The model is further augmented with computer-vision techniques to segment both linear and non-linear motion flows in a dense crowd. The evaluation of the active Langevin equation-based crowd segmentation has been done on publicly available crowd videos and on our own videos. The proposed method is able to segment the flow with lesser optical flow error and better accuracy in comparison to existing state-of-the-art methods.

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“…It is of practical significance that the disaster may happen in different complex environments [25]. It's natural to introduce the game theory into the evacuation model, for it can include the interaction between people (and environment) selfconsistently [26,27]. The embedded game action occurs in conflicts mainly, and people will decide to advance or avoid others by pay-off matrix [28,29,30,31,32].…”

Section: Introductionmentioning

confidence: 99%

Escape dynamics based on bounded rationality

Wang

Jiang

2019

Physica A: Statistical Mechanics and its Applications

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The bounded rationality plays a vital role in the collective behavior of the evacuation process. Also investigating human behavior in such an extreme situation is a continuing concern within social psychology. In this paper, we construct a cellular automaton (CA) model for the escape dynamics, and the bounded rational behavior induced by heterogeneous information is introduced. The non-trivial behavior shows in the replicator dynamics method with mean field approximation, where people's perception of the distribution of population and velocity is reduced to an average value in a certain direction. Analyzing the escape efficiency shows that under the premise of rationality, the bounded rational strategy can get higher performance. Interestingly, a quantifiable meta-stable state appears in the escape process, and the escape time is power-law dependent on system size.

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Sparse Game Changers Restore Collective Motion in Panicked Human Crowds

Cited by 26 publications

References 43 publications

Confined System Analysis of a Predator-Prey Minimalistic Model

Confined System Analysis of a Predator-Prey Minimalistic Model

Understanding Crowd Flow Movements Using Active-Langevin Model

Escape dynamics based on bounded rationality

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