lemons
Generate non-circuLar, anthropometry-based pEdestrian shapes and simulate their Mechanical interactiONS in two dimensions
Science Score: 54.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Scientific vocabulary similarity
Low similarity (12.7%) to scientific vocabulary
Keywords
agent-based-model
crowd-dynamics
granular-mechanics
pedestrian-dynamics
Last synced: 6 months ago
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Repository
Generate non-circuLar, anthropometry-based pEdestrian shapes and simulate their Mechanical interactiONS in two dimensions
Basic Info
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
agent-based-model
crowd-dynamics
granular-mechanics
pedestrian-dynamics
Created 7 months ago
· Last pushed 6 months ago
Metadata Files
Readme
License
Citation
README.md
|
[](https://hal.science/hal-05215318v1)
[](https://lemons.readthedocs.io/en/latest/index.html)
[](https://github.com/odufour7/LEMONS)
[](https://lemons.streamlit.app/)
[](https://zenodo.org/records/16371833)
**LEMONS**: *An Open-Source Platform to Generate Non-Circular, Anthropometry-Based Pedestrian Shapes and Simulate Their Mechanical Interactions in 2D*
**LEMONS**: *An Open-Source Platform to Generate Non-Circular, Anthropometry-Based Pedestrian Shapes and Simulate Their Mechanical Interactions in 2D*
Documentation
Comprehensive installation guidelines, tutorials, and a complete API reference are available in our official documentation.
Authors
- Oscar Dufour
- Maxime Stapelle
- Alexandre Nicolas
This project is developed at Institute of Light and Matter.
Citation
If you use LEMONS, we encourage you to cite or reference this work as you would any other scientific research. The package is a result of a huge amount of time and effort invested by the authors. Citing us allows us to measure the impact of the research and encourages others to use the library.
Cite us:
@software{lemons_2025_14906931,
author = {Dufour, Oscar and Stapelle, Maxime and Nicolas, Alexandre},
title = {LEMONS - An open-source platform to generate non-circuLar, anthropometry-based pEdestrian shapes and simulate their Mechanical interactiONS in two dimensions},
month = {jul},
year = {2025},
version = {v1.0.0},
}
An example of a generated crowd
An example of a crowd simulation
An example of a 3D crowd
License
Every part of LEMONS is available under the CeCILL-B license.
Owner
- Name: Oscar Dufour
- Login: odufour7
- Kind: user
- Location: Institut Lumière Matière
- Repositories: 1
- Profile: https://github.com/odufour7
Citation (CITATION.cff)
cff-version: 1.3.4
title: lemons
message: >-
If you use this software, please cite it using the metadata from this file.
type: software
authors:
- family-names: Dufour
given-names: Oscar
email: oscardufour7@gmail.com
affiliation: Institute of Light and Matter, CNRS UMR 5306, University Claude Bernard Lyon 1
orcid: https://orcid.org/0000-0003-1543-4912
- family-names: Stapelle
given-names: Maxime
affiliation: Institute of Light and Matter, CNRS UMR 5306, University Claude Bernard Lyon 1
orcid: https://orcid.org/1234-5678-9101-1122
- family-names: Nicolas
given-names: Alexandre
email: alexandre.nicolas@univ-lyon1.fr
affiliation: Institute of Light and Matter, CNRS UMR 5306, University Claude Bernard Lyon 1
orcid: https://orcid.org/0000-0002-8953-3924
identifiers:
- type: doi
value: 10.1038/s41597-025-04732-3
repository-code: >-
https://github.com/odufour7/LEMONS
abstract: >-
The rise of large-scale events demands innovative safety tools
to optimise crowd flow. Traditional models rely on oversimplified
circular agents, ignoring body shape heterogeneities and thereby
misjudging flow or crowd density. To address this gap, we present
a software for more realistic crowd simulations. A user-friendly
graphical interface enables the creation of 2D and 3D pedestrian
crowds from anthropometric data. Then, a C++ library (Python-compatible)
handles mechanical contacts, resolving agent-to-agent and agent-to-obstacle
collisions in 2D spaces. Users can extend simulations by integrating
decision-making algorithms from established crowd models.
keywords:
- anthropometry
- crowd dynamics
- mechanical interactions
- bideltoid breadth
- chest depth
licence: CeCILL-B
version: 1.0.0
GitHub Events
Total
- Member event: 1
- Push event: 19
- Create event: 1
Last Year
- Member event: 1
- Push event: 19
- Create event: 1
Dependencies
.github/workflows/pytest.yml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite
pyproject.toml
pypi
- breathe >=4.36.0
- cmcrameri >=1.9
- codespell >=2.4.1
- dicttoxml >=1.7.16
- exhale >=0.3.7
- gprof2dot >=2025.4.14
- jupyter >=1.1.1
- kaleido ==0.2.1
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- matplotlib >=3.10.3
- mypy >=1.15.0
- myst-parser >=4.0.1
- nbsphinx >=0.9.6
- nbsphinx-link >=1.3.1
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- numpydoc >=1.8.0
- pandas >=2.2.3
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- pre-commit >=4.2.0
- pylint >=3.3.7
- pymermaider >=0.1.4
- pytest >=8.3.5
- pytest-cov >=6.1.1
- pyvista >=0.45.2
- ruff >=0.11.10
- scipy >=1.15.3
- shapely >=2.1.1
- sphinx >=8.2.3
- sphinx-autodoc-typehints >=3.2.0
- sphinx-mdinclude >=0.6.2
- sphinx-rtd-theme >=3.0.2
- streamlit >=1.45.1
- streamlit-option-menu >=0.4.0
- watchdog >=6.0.0
- xmltodict >=0.14.2
requirements.txt
pypi
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- altair ==5.5.0
- anyio ==4.9.0
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- kiwisolver ==1.4.8
- lxml ==5.4.0
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- markupsafe ==3.0.2
- matplotlib ==3.10.3
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- mccabe ==0.7.0
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- mistune ==3.1.3
- mypy ==1.15.0
- mypy-extensions ==1.0.0
- myst-parser ==4.0.1
- narwhals ==1.30.0
- nbclient ==0.10.2
- nbconvert ==7.16.6
- nbformat ==5.10.4
- nbsphinx ==0.9.6
- nbsphinx-link ==1.3.1
- nest-asyncio ==1.6.0
- nodeenv ==1.9.1
- notebook ==7.3.3
- notebook-shim ==0.2.4
- numpy ==2.2.6
- numpydoc ==1.8.0
- overrides ==7.7.0
- packaging ==24.2
- pandas ==2.2.3
- pandocfilters ==1.5.1
- parso ==0.8.4
- pathlib ==1.0.1
- pexpect ==4.9.0
- pillow ==10.4.0
- platformdirs ==4.3.6
- plotly ==6.1.1
- pluggy ==1.5.0
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- pre-commit ==4.2.0
- prometheus-client ==0.21.1
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- protobuf ==5.29.3
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- pytest-cov ==6.1.1
- python-dateutil ==2.9.0.post0
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- pytz ==2025.1
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- referencing ==0.36.2
- requests ==2.32.3
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- rfc3986-validator ==0.1.1
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- ruff ==0.11.10
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- shapely ==2.1.1
- six ==1.17.0
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- sniffio ==1.3.1
- snowballstemmer ==2.2.0
- soupsieve ==2.6
- sphinx ==8.2.3
- sphinx-autodoc-typehints ==3.2.0
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- sphinx-rtd-theme ==3.0.2
- sphinxcontrib-applehelp ==2.0.0
- sphinxcontrib-devhelp ==2.0.0
- sphinxcontrib-htmlhelp ==2.1.0
- sphinxcontrib-jquery ==4.1
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==2.0.0
- sphinxcontrib-serializinghtml ==2.0.0
- stack-data ==0.6.3
- streamlit ==1.45.1
- streamlit-option-menu ==0.4.0
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- terminado ==0.18.1
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- virtualenv ==20.29.3
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- watchdog ==6.0.0
- wcwidth ==0.2.13
- webcolors ==24.11.1
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uv.lock
pypi
- 199 dependencies