Simulation model of self-organizing pedestrian movement considering following behavior

Yuan, Zhilu; Jia, Hongfei; Liao, Mingdun; Zhang, Linfeng; Feng, Yixiong

doi:10.1631/fitee.1601592

Cited by 24 publications

(17 citation statements)

References 31 publications

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“…www.nature.com/scientificreports/ modeled using self-propelled models with a gravitational term that describes the ambient information 30,31 . Other approaches to the dynamics of infectious diseases in humans 32 have also been explored using a non-linear wave approach by means of reaction-diffusion equations to model the effect of random motion in the SIR dynamics.…”

mentioning

confidence: 99%

Understanding contagion dynamics through microscopic processes in active Brownian particles

Norambuena¹,

Valencia²,

Guzmán-Lastra³

2020

Sci Rep

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Together with the universally recognized SIR model, several approaches have been employed to understand the contagion dynamics of interacting particles. Here, Active Brownian particles (ABP) are introduced to model the contagion dynamics of living agents that perform a horizontal transmission of an infectious disease in space and time. By performing an ensemble average description of the ABP simulations, we statistically describe susceptible, infected, and recovered groups in terms of particle densities, activity, contagious rates, and random recovery times. Our results show that ABP reproduces the time dependence observed in traditional compartmental models such as the Susceptible-Infected-Recovery (SIR) models and allows us to explore the critical densities and the contagious radius that facilitates the virus spread. Furthermore, we derive a first-principles analytical expression for the contagion rate in terms of microscopic parameters, without considering free parameters as the classical SIR-based models. This approach offers a novel alternative to incorporate microscopic processes into analyzing SIR-based models with applications in a wide range of biological systems.

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mentioning

confidence: 99%

Understanding contagion dynamics through microscopic processes in active Brownian particles

Norambuena¹,

Valencia²,

Guzmán-Lastra³

2020

Sci Rep

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“…In addition, Guo [12] studied the spatial and temporal separation of pedestrians moving in a counter flow through a bottleneck using the improved social force model and carefully defined the desired directions of the pedestrians, through which he described the spatial and temporal separation rules and moving characteristics of pedestrians within a counter flow moving through a narrow bottleneck; he also analyzed the effects of these separation rules on the traffic efficiency using the improved model. Furthermore, Yuan et al used the improved social force model to study the crossing process of pedestrians in a bidirectional channel [43], [44] and proposed a new force model based on the social force model in consideration of individual moving preferences and following behaviors; subsequently, they used the improved model to study the merging and separation processes of pedestrian flow and analyzed the effects of individual and mass pedestrian behaviors on the self-organization of pedestrian flow.…”

Section: Related Workmentioning

confidence: 99%

Simulation of the Separating Crowd Behavior in a T-Shaped Channel Based on the Social Force Model

et al. 2019

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The separating behavior defines the division of a crowd from a single flow into two distributary flows due to the different pedestrians' destinations. Nevertheless, in the existing literature on pedestrian flow, there is a lack of simulation research on the separating crowd behavior in a T-shaped channel. By conducting a series of controlled experiments, we analyzed the moving trajectories and the spatial and temporal distribution characteristics of pedestrians in the separation process. Based on an analysis of the controlled experiments, we proposed an improved social force model that fully considers the characteristics of pedestrians' swapping locations, and refines the directions of pedestrians' expected speeds in three stages of the pedestrian separation process. During the simulation, we applied the improved model to explore the effects of the pedestrians' swapping locations on the macroscopic phenomena, microscopic individual behavior, and traffic efficiency within a T-shaped channel. The simulation results show that if pedestrians' swapping locations are concentrated in a certain area close to the entrance, the traffic efficiency in the T-shaped channel will be higher than that if the pedestrians' swapping locations are dispersed. Moreover, as the flow rate at the entrance increases, the swapping location becomes more concentrated closer to the entrance, the mean speed increases, and fewer conflicts occur between the pedestrians.

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“…Para que las entidades peatonales encuentren una comodidad al desplazarse por un lugar aleatorio se debe hacer estudios mediante softwares y evaluar los comportamientos en varias direcciones [2]. Por ello, la aplicación de la tecnología de simulación de multitudes ayuda a analizar la circulación peatonal [3,[10][11][12][13] , en los espacios públicos para facilitar las decisiones de diseño y planificación.…”

Section: Introduction (Heading 1)unclassified

Modelado y predicción del comportamiento de entidades peatonales en estado de pánico en edificaciones verticales, a través de un análisis descriptivo-macroscópico

Davalos¹,

Chanca²

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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This article performs the modeling, comparison and evaluation of pedestrian´s performance process evacuation in a vertical building belonging to the municipality of Pueblo Libre, Lima-Peru. The research, descriptive-macroscopic, seeks to perform the aforementioned analyzes simulating a panic situation. It also emphasizes the need for a change in the distribution and studies of escape routes for future vertical buildings of large pedestrian capacity. Finally, the most relevant results in the framework of this research are: 1) Density, clearance time and storage area between a capacity of fifty people vs. total structure capacity 2) Data collection in real situation vs Pathfinder and 3) Efficiency of the different evacuation routes and suggestion in changing design for optimization of evacuation.

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Simulation model of self-organizing pedestrian movement considering following behavior

Cited by 24 publications

References 31 publications

Understanding contagion dynamics through microscopic processes in active Brownian particles

Understanding contagion dynamics through microscopic processes in active Brownian particles

Simulation of the Separating Crowd Behavior in a T-Shaped Channel Based on the Social Force Model

Modelado y predicción del comportamiento de entidades peatonales en estado de pánico en edificaciones verticales, a través de un análisis descriptivo-macroscópico

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