Separation of pedestrian counter flows with an array of obstacles

Koyama, Shihori; Inoue, Daisuke; Okada, Akane; Yoshida, Hiroaki

doi:10.1007/s10015-020-00648-w

Artif Life Robotics

2020

DOI: 10.1007/s10015-020-00648-w

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Separation of pedestrian counter flows with an array of obstacles

Shihori Koyama¹,

Daisuke Inoue²,

Akane Okada³

et al.

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Cited by 3 publications

References 26 publications

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Social distancing slows down steady dynamics in pedestrian flows

Kramer

Wang

2021

Physics of Fluids

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Amidst the ongoing pandemic, social distancing has been broadly adopted as an effective front-line defense strategy for mitigating disease transmission. Viewed through the lens of particle-based simulations of flow, the practice of social distancing corresponds to a (significant) increase in an internal length scale of the flow, namely, the radius within which particles (pedestrians) strongly repel fellow particles. In this study, we report the results of two-dimensional pedestrian dynamics simulations modeling pedestrian counter-flows under confinement, in which individual pedestrians are described as active particles that aim to maintain a target speed while avoiding collisions. By systematically varying two quantities—the pedestrian density and the degree of social distancing—we compute fundamental diagrams for confined and socially distanced pedestrian flows, which show average pedestrian speed as a function of density and social distancing. These results reveal the sensitive dependence of average velocity on both independent variables, including a social distancing-induced jamming transition. These results highlight the need for both deliberate planning and careful public-health messaging regarding social distancing as shared indoor spaces return to appreciable levels of occupation.

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Social distancing slows down steady dynamics in pedestrian flows

Kramer

Wang

2021

Physics of Fluids

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Active Brownian particles in random and porous environments

Moore

Russo

Liverpool

et al. 2023

The Journal of Chemical Physics

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The transport of active particles may occur in complex environments, in which it emerges from the interplay between the mobility of the active components and the quenched disorder of the environment. Here we explore structural and dynamical properties of Active Brownian Particles (ABPs) in random environments composed of fixed obstacles in three dimensions. We consider different arrangements of the obstacles. In particular, we consider two particular situations corresponding to experimentally realizable settings. Firstly, we model pinning particles in (non--overlapping) random positions and secondly in a percolating gel structure, and provide an extensive characterization of the structure and dynamics of ABPs in these complex environments. We find that the confinement increases the heterogeneity of the dynamics, with new populations of absorbed and localized particles appearing close to the obstacles. This heterogeneity has a profound impact on the motility induced phase separation (MIPS) exhibited by the particles at high activity, ranging from nucleation and growth in random disorder to a complex phase separation in porous environments.

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Active Brownian and inertial particles in disordered environments: Short-time expansion of the mean-square displacement

2020

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Separation of pedestrian counter flows with an array of obstacles

Cited by 3 publications

References 26 publications

Social distancing slows down steady dynamics in pedestrian flows

Social distancing slows down steady dynamics in pedestrian flows

Active Brownian particles in random and porous environments

Active Brownian and inertial particles in disordered environments: Short-time expansion of the mean-square displacement

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