Datasets:

dmariaa70
/

GO-MO

license: cc-by-4.0
task_categories:
  - time-series-forecasting
tags:
  - traffic
  - environment
  - mobility planning
pretty_name: Graph augmented Open source urban MObility dataset
size_categories:
  - 1B<n<10B
dataset_info:
  features:
    - name: sensor_id
      dtype: string
    - name: entry_date
      dtype: timestamp[s]
    - name: traffic_intensity
      dtype: int64
    - name: sensor_occupancy
      dtype: int64
    - name: avg_speed
      dtype: int64
    - name: read_error
      dtype: string
    - name: original_traffic_intensity
      dtype: int64
    - name: is_interpolated
      dtype: bool

GO-MO, a massive Graph agumented Open urban MObility dataset

This is the official dataset repository for the GO-MO traffic dataset.

The GO-MO dataset is a traffic dataset extracted from the publicly available Open Data Portal of the City Council of Madrid (Spain).

GO-MO comprises more than 1.5 billion records of three traffic-related metrics together with spatio-temporal data and metadata, spanning a ten-year period (2015-2024). Additionally, the GO-MO dataset introduces two graph representations extracted from traffic data and metadata: one for routes between nodes and another for the road network.

📊 Statistics

Traffic data:

Total number of timestamps: 350,688 between 01/01/2015 00:00:00 and 31/12/2024 23:45:00 at 15 minutes interval.
Total number of records: 1,523,167,456
Number of measure points (traffic sensors): 5,157
Traffic magnitudes: 3 (traffic intensity, average speed, sensor occupancy)
Traffic sensors metadata: 6 variables (sensor type, district, road name, number of lanes, maximum speed, maximum capacity) plus UTM and GCS WGS84 location.

Graphs:

Route based graph:
- Graph type: Directed
- Number of nodes: 5,157
- Number of edges: 135,428
- Average degree: 52.522
Road network based graph:
- Graph type: Multidirected graph
- Number of nodes: 35,304
- Number of edges: 69,362
- Average degree: 3,929

🔧 Tools and Code

📦 Dataset: Hugging Face Dataset Page
🛠️🧪 Source code and experiments: GO-MO source code

💾 Data sources

The original data published in this dataset is available on the Open Data Portal of the City Council of Madrid (Spain).

📄 License

This Dataset is licensed under the CC-BY 4.0.

You are free to:

✅ Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
✅ Adapt — remix, transform, and build upon the material for any purpose, even commercially.

The full license text is available here.

📚 Citation

If you use GO-MO traffic dataset in your research, please cite our work using the following format (citation will be updated upon paper publication):

@misc{maria_arribas2026massive,
  author       = {Maria-Arribas, David and Pantrigo, Juan J. and Cuesta-Infante, Alfredo and others},
  title        = {A massive, graph augmented, traffic dataset for machine learning and deep learning spatio-temporal traffic analysis},
  year         = {2026},
  month        = {February},
  day          = {24},
  note         = {Version 1, Preprint},
  publisher    = {Research Square},
  doi          = {10.21203/rs.3.rs-8670080/v1},
  url          = {https://doi.org/10.21203/rs.3.rs-8670080/v1}
}