# Example Scripts — Automatum Data Full Highway Dataset

These scripts demonstrate how to work with the Automatum drone traffic data using the `openautomatumdronedata` Python library.

## Prerequisites

```bash
pip install openautomatumdronedata numpy matplotlib
```

## Scripts

| Script | Description |
|--------|-------------|
| `01_lane_changes.py` | Analyzes lane change frequency per vehicle and shows the top 10 |
| `02_heatmap_density.py` | Creates a traffic density heatmap from all position data |
| `03_high_acceleration.py` | Detects vehicles exceeding an acceleration threshold |

## Usage

All scripts take the path to a recording folder as their first argument:

```bash
python 01_lane_changes.py ../hw-a9-denkendorf-001-uuid
python 02_heatmap_density.py ../hw-a9-appershofen-001-uuid
python 03_high_acceleration.py ../hw-a9-brunn-001-uuid 3.0
```

## Processing All Recordings

To batch-process all 114 recordings:

```python
import os
from openautomatumdronedata.dataset import droneDataset

base = "path/to/automatum_data_full_highway_drone_dataset"
for folder in sorted(os.listdir(base)):
    if folder.startswith("hw-"):
        dataset = droneDataset(os.path.join(base, folder))
        print(f"{folder}: {len(dataset.dynWorld)} vehicles")
```

## Learn More

- [Full Documentation](https://openautomatumdronedata.readthedocs.io)
- [Research Paper (IV2021)](../doc/IV21_Automatumd_Full_Drone_Dataset.pdf)
- [Automatum Data Website](https://automatum-data.com)