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Updated: Jun 12, 2025

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

Simulating pedestrian avoidance: The human-zombie game.

Juan P Oriana¹, German A Patterson², Daniel R Parisi²

¹<a href="https://ror.org/02qwadn23">Instituto Tecnológico de Buenos Aires (ITBA)</a>, Lavardén 315, 1437 C. A. de Buenos Aires, Argentina.

Physical Review. E

|September 19, 2024

Summary

This summary is machine-generated.

This study models a human-zombie game using active matter principles. The system shows complex dynamics, including phase transitions, influenced by agent density and initial conditions.

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Area of Science:

Complex Systems
Active Matter Physics
Computational Social Science

Background:

Active matter systems exhibit self-propulsion and collective behaviors.
Pedestrian collision avoidance models offer insights into agent interactions.
Predator-prey dynamics and contagion processes are key ecological and social phenomena.

Purpose of the Study:

To simulate an active matter system using a human-zombie game.
To investigate the impact of agent density and initial conditions on system dynamics.
To identify emergent behaviors, including phase transitions, in a closed geometry.

Main Methods:

Implementation of a simulated active matter system based on the pedestrian collision avoidance paradigm.
Modeling a predator-prey scenario with a one-way contagion process (humans to zombies).
Analysis of system responses under varying numbers of human and zombie agents in a closed geometry.

Main Results:

A single zombie agent always captures a human agent when maximum speeds are equal.
Two zombie agents fail to capture a single human agent under the same speed conditions.
Observable metrics like final zombie fraction and conversion time change significantly at intermediate densities, indicating complex system behavior.

Conclusions:

The human-zombie simulation demonstrates density-dependent emergent behaviors.
Evidence of a first-order phase transition is observed, indicated by changes in mean population speed.
The study highlights the utility of active matter models for understanding contagion and predator-prey dynamics.