PedPy

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Analysis of pedestrian dynamics based on trajectory files.

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# PedPy

**PedPy** is a Python library for quantitative analysis of pedestrian dynamics from trajectory data.

It provides a high-level interface for extracting fundamental measures (density, velocity, flow) and advanced analyses such as Voronoi-based methods, profiles, and pair-distribution functions, which can be combined to derive fundamental diagrams.

## Features

- Compute core pedestrian measures: density, velocity, flow
- Advanced analyses: Voronoi-based density, profiles, pair-distribution functions
- Directly load trajectory data from multiple tools: Crowdit, Viswalk, JuPedSim, Vadere, Pathfinder
- Easy-to-use API for loading, processing, and visualizing data
- Built-in plotting for quick inspection and comparison of results
- Open-source, tested, and aligned with FAIR and OpenSSF best practices

## Getting Started

### Installation

**PedPy** requires Python >= 3.11.
It is recommended to use a [virtual environment](https://docs.python.org/3/library/venv.html).

Install the latest stable release from PyPI:

```bash
python3 -m pip install pedpy
```

To install the latest development version from the repository:

```bash
python3 -m pip install --force-reinstall git+https://github.com/PedestrianDynamics/PedPy.git
```

> [!IMPORTANT]
> The latest repository version may be unstable. Use with caution.

### Quickstart

```python
from pedpy import *

# Load trajectory data from file
traj = load_trajectory(trajectory_file=pathlib.Path("some_trajectory_data.txt"))

# Create measurement area
measurement_area = MeasurementArea([(-0.4, 0.5), (0.4, 0.5), (0.4, 1.3), (-0.4, 1.3)])

# Compute classic density in the measurement area
classic_density = compute_classic_density(traj_data=traj, measurement_area=measurement_area)

plot_density(density=classic_density, title="Classic density")
```

See the [Getting Started Guide](https://pedpy.readthedocs.io/stable/getting_started.html) for a step-by-step introduction.
A more extensive documentation and demonstration of **PedPy**'s capabilities can be found in the [User Guide](https://pedpy.readthedocs.io/stable/user_guide.html).

### Usage

PedPy is designed to be used in scripts or interactive Jupyter notebooks.

- Explore [getting started](notebooks/getting_started.ipynb), [user guide](https://github.com/PedestrianDynamics/PedPy/blob/main/notebooks/user_guide.ipynb), and [fundamental diagram](https://github.com/PedestrianDynamics/PedPy/blob/main/notebooks/fundamental_diagram.ipynb) notebooks.
- For local usage, clone the repository and install the extra requirements for notebooks and plotting:

```bash
    git clone https://github.com/PedestrianDynamics/pedpy.git
    python3 -m pip install jupyter matplotlib
    ```

Then start a Jupyter server:

```bash
    jupyter notebook
    ```

## Example Visualizations

## Documentation

- [Full Documentation](https://pedpy.readthedocs.io/)
- [Getting Started Guide](https://pedpy.readthedocs.io/stable/getting_started.html)
- [Extensive User Guide](https://pedpy.readthedocs.io/stable/user_guide.html)
- [API Reference](https://pedpy.readthedocs.io/stable/api/index.html)

## Citation

If you use **PedPy** in your work, please cite:

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7194992.svg)](https://doi.org/10.5281/zenodo.7194992)

For the latest release (v.1.3.2) the BibTeX entry is:
```
@software{schrodter_2025_15337052,
  author       = {Schrödter, Tobias and
                  The PedPy Development Team},
  title        = {PedPy - Pedestrian Trajectory Analyzer},
  month        = may,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {v1.3.2},
  doi          = {10.5281/zenodo.15337052},
  url          = {https://doi.org/10.5281/zenodo.15337052},
}
```

If you used a different version, please use Zenodo to get the citation information.

## Contributing

Contributions are welcome and we are looking forward to any contribution from the community!
Take a look at our [Developer Guide](https://pedpy.readthedocs.io/stable/developer_guide.html) to check out different ways to contribute to **PedPy**.
See the [contributing guidelines](CONTRIBUTING.md) and open an issue or pull request on [GitHub](https://github.com/PedestrianDynamics/PedPy/issues).

## Getting Help

If you find yourself in a position where you need assistance from us, don't hesitate to contact us.
- GitHub Issues: Report bugs or unexpected behavior
- GitHub Discussions: Ask questions, share ideas, request features

## License

**PedPy** is released under the [MIT License](LICENSE).

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