double-blind-anonymous/go-mo-dataset

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 project is licensed under the MIT License.

You are free to:

• —✅ Use the dataset for commercial and non-commercial purposes
• —✅ Modify, distribute, and build upon the dataset
• —✅ Incorporate it into your own models, research, or applications

The full license text is available here.

📚 Citation

(pending)