Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 176

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Crowd modeling and simulation technologies

Zhou, Suiping, Chen, Dan, Cai, Wentong, Luo, Linbo, Low, Malcolm Yoke Hean, Tian, Feng, Tay, Victor Su-Han, Ong, Darren Wee Sze, Hamilton, Benjamin D.·2010·ACM Transactions on Modeling and Computer Simulation

Abstract

As a collective and highly dynamic social group, the human crowd is a fascinating phenomenon that has been frequently studied by experts from various areas. Recently, computer-based modeling and simulation technologies have emerged to support investigation of the dynamics of crowds, such as a crowd's behaviors under normal and emergent situations. This article assesses the major existing technologies for crowd modeling and simulation. We first propose a two-dimensional categorization mechanism to classify existing work depending on the size of crowds and the time-scale of the crowd phenomena of interest. Four evaluation criteria have also been introduced to evaluate existing crowd simulation systems from the point of view of both a modeler and an end-user. We have discussed some influential existing work in crowd modeling and simulation regarding their major features, performance as well as the technologies used in this work. We have also discussed some open problems in the area. This article will provide the researchers with useful information and insights on the state of the art of the technologies in crowd modeling and simulation as well as future research directions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/1842722.1842725

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 176

Metadata

Authors
Zhou, S., Chen, D., Cai, W., Luo, L., Low, M. Y. H., Tian, F., Tay, V. S.-H., Ong, D. W. S., & Hamilton, B. D.
Venue
ACM Transactions on Modeling and Computer Simulation
Published
2010-10
Volume
20
Issue
4
Pages
1-35
ISSN
  • 1049-3301 (ISSN-L)
  • 1558-1195
OpenAlex
W2028545909
Cited by
176
References
1
FWCI
21.34
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Crowd modeling and simulation technologies. https://app.cochat.ai/papers/10.1145/1842722.1842725
The paper
Zhou, S., Chen, D., Cai, W., Luo, L., Low, M. Y. H., Tian, F., Tay, V. S.-H., Ong, D. W. S., & Hamilton, B. D. (2010). Crowd modeling and simulation technologies. ACM Transactions on Modeling and Computer Simulation. https://doi.org/10.1145/1842722.1842725

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.