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Add acknowledgments and references in a sperate markdown file
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ll7 committed Jan 5, 2024
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9 changes: 5 additions & 4 deletions README.md
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# PySocialForce

This Project is based on [PySocialForce](https://github.com/yuxiang-gao/PySocialForce).
This Project is based on [yuxiang-gao/PySocialForce](https://github.com/yuxiang-gao/PySocialForce).

## Installation

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pip install -e .
```

`pip install -e .` will install the package in editable mode, so that you can modify the source code and import the package in python. It is additionally recommended to use a `virtualenv` to install the package.
`pip install -e .` will install the package in editable mode, so that you can modify the source code and import the package in Python. It is additionally recommended to use a `virtualenv` to install the package.

## Examples

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pytest tests/*.py
```

## History
## Acknowledgments

The old version of the README.md can be found in [README_old.md](README_old.md).
- All acknowledgments can be found in [docs/acknowledgments.md](docs/acknowledgments.md).
- The old version of the README.md can be found in [README_old.md](docs/README_old.md).
31 changes: 16 additions & 15 deletions README_old.md → docs/README_old.md
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# PySocialForce

> DEPRECATED: This README is deprecated and comes from [yuxiang-gao/PySocialForce](https://github.com/yuxiang-gao/PySocialForce).
master: [![Build Status](https://travis-ci.com/yuxiang-gao/PySocialForce.svg?branch=master)](https://travis-ci.com/yuxiang-gao/PySocialForce)
dev: [![Build Status](https://travis-ci.com/yuxiang-gao/PySocialForce.svg?branch=dev)](https://travis-ci.com/yuxiang-gao/PySocialForce)

A Python Implementation of the Extended Social Force Model for Pedestrian Dynamics

## Table of Contents

- [PySocialForce](#pysocialforce)
- [Table of Contents](#table-of-contents)
- [About The Project](#about-the-project)
- [Roadmap](#roadmap)
- [Installation](#installation)
- [Usage](#usage)
- [Configuration](#configuration)
- [Examples](#examples)
- [Ped-ped Scenarios](#ped-ped-scenarios)
- [Environmental obstacles](#environmental-obstacles)
- [Groups](#groups)
- [Contributing to this project](#contributing-to-this-project)
- [License](#license)
- [Acknowledgements](#acknowledgements)
- [References](#references)
* [Table of Contents](#table-of-contents)
* [About The Project](#about-the-project)
* [Roadmap](#roadmap)
* [Installation](#installation)
* [Usage](#usage)
* [Configuration](#configuration)
* [Examples](#examples)
* [Ped-ped Scenarios](#ped-ped-scenarios)
* [Environmental obstacles](#environmental-obstacles)
* [Groups](#groups)
* [Contributing to this project](#contributing-to-this-project)
* [License](#license)
* [Acknowledgements](#acknowledgements)
* [References](#references)

## About The Project

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## Acknowledgments

- This project is based on [yuxiang-gao/PySocialForce](https://github.com/yuxiang-gao/PySocialForce)'s implementation of the extended social force model.
- yuxiang-gao/PySocialForce is based on [svenkreiss](https://github.com/svenkreiss)'s implementation of the vanilla social force model.
- The implementation of forces drew inspiration from the [pedsim_ros][pedsim_ros] package.

## References

<a id="1">[1]</a> Helbing, D., & Molnár, P. (1995). Social force model for pedestrian dynamics. Physical Review E, 51(5), 4282–4286. <https://doi.org/10.1103/PhysRevE.51.4282>

<a id="2">[2]</a> Moussaïd, M., Perozo, N., Garnier, S., Helbing, D., & Theraulaz, G. (2010). The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PLoS ONE, 5(4), 1–7. <https://doi.org/10.1371/journal.pone.0010047>

[socialforce]: https://github.com/svenkreiss/socialforce

[pedsim_ros]: https://github.com/srl-freiburg/pedsim_ros
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