A Phenomenological Operator Description of Dynamics of Crowds: Escape Strategies
Fabio Bagarello, Francesco Gargano, Francesco Oliveri

TL;DR
This paper introduces an operator-based model to analyze crowd dynamics and escape strategies in complex regions, examining how interactions and topology influence collective behavior under different density and alarm conditions.
Contribution
It presents a novel phenomenological operatorial approach to model interacting crowds in regions with complex topology, considering various densities and exit configurations.
Findings
Interaction strength affects crowd response
Topology influences escape efficiency
Density impacts crowd movement patterns
Abstract
We adopt an operatorial method, based on creation, annihilation and number operators, to describe one or two populations mutually interacting and moving in a two--dimensional region. In particular, we discuss how the two populations, contained in a certain two-dimensional region with a non--trivial topology, react when some alarm occurs. We consider the cases of both low and high densities of the populations, and discuss what is changing as the strength of the interaction increases. We also analyze what happens when the region has either a single exit or two ways out.
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