A logistic model for flowing particles
Byung Mook Weon
TL;DR
This paper introduces a logistic model to estimate the total number of particles flowing through a space, combining growth rate and transient probability to better understand transport dynamics.
Contribution
The paper presents a novel logistic model that links particle growth and transient probability to improve particle counting in physics and social science.
Findings
Model effectively estimates total particle flow
Provides insights into transport dynamics
Bridges physics and social science applications
Abstract
Counting how many particles pass through a specific space within a specific time is an interesting question in applied physics and social science. Here a logistic model is developed to estimate the total number of flowing particles. This model sheds light on a collective contribution of particle growth rate and transient probability within a specific space in particle counting. This model may offer a basic concept to understand transport dynamics of flowing particles.
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Transportation Planning and Optimization · Traffic control and management