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Crowded transport within networked representations of complex geometries

Mathematics

Crowded transport within networked representations of complex geometries

D. B. Wilson, F. G. Woodhouse, et al.

Discover a groundbreaking framework that delves into the nuances of crowded transport in complex environments, crafted by Daniel B. Wilson, Francis G. Woodhouse, Matthew J. Simpson, and Ruth E. Baker. This research unveils the intricate dance between geometry and crowd dynamics while providing critical insights for designing optimal spaces.

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Playback language: English
Abstract
This paper presents a novel framework for studying crowded transport in complex environments using networked representations. The framework efficiently explores the interplay between geometry and crowding, providing detailed information at both individual and population levels. It identifies topological features crucial for accurate transport predictions and offers insights into designing optimal environments.
Publisher
Communications Physics
Published On
Oct 25, 2021
Authors
Daniel B. Wilson, Francis G. Woodhouse, Matthew J. Simpson, Ruth E. Baker
Tags
crowded transport
complex environments
networked representations
topological features
optimal environments
geometry
population levels

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