Crowd Behavior Dynamics: Entropic Path-Integral Model
Vladimir G. Ivancevic, Darryn J. Reid, and Eugene V. Aidman

TL;DR
This paper introduces an entropic geometrical model of crowd behavior dynamics using a Feynman action--amplitude formalism across macro, meso, and micro levels, explaining behavior regimes and phase transitions.
Contribution
It presents a novel entropic geometrical framework for modeling crowd dynamics with a multi-level formalism and thermodynamic principles, including phase transitions and Ricci flow.
Findings
Goal-directed movement conserves entropy ($\,\partial_t S=0$)
Chaotic crowd dynamics increase entropy ($\partial_t S>0$)
Phase transition occurs between these regimes with a chaotic inter-phase.
Abstract
We propose an entropic geometrical model of crowd behavior dynamics (with dissipative crowd kinematics), using Feynman action--amplitude formalism that operates on three synergetic levels: macro, meso and micro. The intent is to explain the dynamics of crowds simultaneously and consistently across these three levels, in order to characterize their geometrical properties particularly with respect to behavior regimes and the state changes between them. Its most natural statistical descriptor (order parameter) is crowd entropy that satisfies the Prigogine's extended second law of thermodynamics, (for any nonisolated multi-component system). Qualitative similarities and superpositions between individual and crowd configuration manifolds motivate our claim that \emph{goal-directed crowd movement} operates under entropy conservation, , while…
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques
