Simulation of space acquisition process of pedestrians using Proxemic Floor Field Model

Ezaki, Takahiro; Yanagisawa, Daichi; Ohtsuka, Kazumichi; Nishinari, Katsuhiro

doi:10.1016/j.physa.2011.07.056

Cited by 67 publications

(40 citation statements)

References 15 publications

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“…Furthermore, the environment may affect a pedestrian through a strong psychological repulsive force [11]. We believe that by including the effects of phase, models for pedestrians and other animals can be improved.…”

Section: Conclusive Discussionmentioning

confidence: 99%

Collective motion of oscillatory walkers

et al. 2013

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We study a system of interacting self-propelled particles whose walking velocity depends on the stage of the locomotion cycle. The model introduces a phase equation in the optimal velocity model for vehicular traffic. We find that the system exhibits novel types of flow: synchronized free flow, phase-anchoring free flow, orderly jam flow, and disordered jam flow. The first two flows are characterized by synchronization of the phase, while the others do not have the global synchronization. Among these, the disordered jam flow is very complex, although the underlying model is simple. This phenomenon implies that the crowd behavior of moving particles can be destabilized by coupling their velocity to the phase of their motion. We also focus on "phaseanchoring" phenomena. They strongly affect particle flow in the system, especially when the density of particles is high.

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Section: Conclusive Discussionmentioning

confidence: 99%

Collective motion of oscillatory walkers

et al. 2013

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“…The first group aims to create a smarter agent that can decide its actions based on psychological and cognitive reasoning [20]- [24], [41], and have pathfinding capability facilitated by path planning method [25]- [29]. Meanwhile, the second group aims to make the environment smarter by embedding a series of control instructions into environment objects so that an agent can be provided with control strategies appropriate to its location and situation in the welldefined environment [30], [31], [42], [43]. We adopt this approach to allow users to construct macroscopic pedestrian behaviors flexibly by arranging a set of learned behavior patterns in the environment.…”

Section: Related Workmentioning

confidence: 99%

A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach

Xing

Zhao

Zhang

et al. 2017

IEICE Trans. Inf. & Syst.

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SUMMARYCrowd modeling and simulation is an active research field that has drawn increasing attention from industry, academia and government recently. In this paper, we present a generic data-driven approach to generate crowd behaviors that can match the video data. The proposed approach is a bi-layer model to simulate crowd behaviors in pedestrian traffic in terms of exclusion statistics, parallel dynamics and social psychology. The bottom layer models the microscopic collision avoidance behaviors, while the top one focuses on the macroscopic pedestrian behaviors. To validate its effectiveness, the approach is applied to generate collective behaviors and re-create scenarios in the Informatics Forum, the main building of the School of Informatics at the University of Edinburgh. The simulation results demonstrate that the proposed approach is able to generate desirable crowd behaviors and offer promising prediction performance. key words: agent-based modeling, crowd simulation, data-driven approach, pedestrian behaviors

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“…In [10] a process of space acquisition by pedestrians using a Proxemic Floor Field (PFF) is proposed. The authors consider the inflow process of pedestrians (entering a new area).…”

Section: Related Workmentioning

confidence: 99%

Cellular Automata as the basis of effective and realistic agent-based models of crowd behavior

2016

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The Cellular Automata (CA) paradigm has been recognized as an effective approach used in the modeling and simulation of complex systems. However, its classical form of a homogeneous and synchronous CA has a limited field of applications. For practical applications, non-homogeneous and asynchronous CAs with hybrid technological construction are especially useful in modeling and simulation. In this article, the authors focus on crowd simulations based on CA and agent-based modeling approaches. Basic technical aspects of large-scale crowd simulations are presented: specifically proposed architecture, our view on synchronization patterns, as well as hierarchy of objects in logic and data layer. A new method of agent conflict resolution is also proposed. Such an approach was successfully applied in the Allianz Arena stadium model, and other large-scale simulations developed by the authors. Thus, finally, practical applications of the models are presented.

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Simulation of space acquisition process of pedestrians using Proxemic Floor Field Model

Cited by 67 publications

References 15 publications

Collective motion of oscillatory walkers

Collective motion of oscillatory walkers

A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach

Cellular Automata as the basis of effective and realistic agent-based models of crowd behavior

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