Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Group Design02:01

Group Design

11.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
11.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Universal power law governing pedestrian interactions.

Physical review letters·2014
See all related articles

Related Experiment Video

Updated: Mar 28, 2026

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

5.4K

Simulating and evaluating the local behavior of small pedestrian groups.

Ioannis Karamouzas1, Mark Overmars

  • 1Department of Information and Computing Sciences, University of Utrecht, Utrecht, The Netherlands. ioannis@cs.uu.nl

IEEE Transactions on Visualization and Computer Graphics
|January 14, 2012
PubMed
Summary

This study introduces a new simulation model for small groups of virtual pedestrians, improving collision avoidance by accounting for real-world group dynamics. The approach enhances realism in crowd simulations.

More Related Videos

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.2K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K

Related Experiment Videos

Last Updated: Mar 28, 2026

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

5.4K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.2K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K

Area of Science:

  • Computer Graphics
  • Artificial Intelligence
  • Human Behavior Simulation

Background:

  • Existing virtual character collision avoidance methods lack realism.
  • Real-world pedestrians often move in small groups (pairs, triples).

Purpose of the Study:

  • To develop a novel approach for simulating the walking behavior of small groups of virtual pedestrians.
  • To model interactions within groups, between groups, and with individuals.

Main Methods:

  • Developed a new simulation model for group pedestrian behavior.
  • Incorporated inter-member, inter-group, and individual-group interaction rules.
  • Tested the model across diverse scenarios.

Main Results:

  • The novel approach successfully simulates group walking dynamics.
  • Quantitative metrics and visual comparisons validate simulation accuracy against real crowd footage.
  • Demonstrated improved collision avoidance for virtual groups.

Conclusions:

  • The proposed model enhances the realism of crowd simulations by incorporating small group behavior.
  • This method offers a significant improvement over existing individual-based collision avoidance techniques.
  • The approach has broad applicability in areas requiring realistic virtual crowd simulation.