Datasets:

dmariaa70
/

GO-MO

sensor_id stringlengths 1 5	entry_date timestamp[s]date 2015-01-01 00:00:00 2015-09-30 23:45:00	traffic_intensity int64 0 91.4k	sensor_occupancy int64 -1 505	avg_speed int64 0 4.66k	read_error stringclasses 3 values	original_traffic_intensity int64	is_interpolated bool 2 classes
0	2015-01-22T14:30:00	117	3	22	N	null	false
1001	2015-01-01T00:00:00	210	0	0	N	null	false
1001	2015-01-01T00:15:00	216	1	0	N	null	false
1001	2015-01-01T00:30:00	180	0	0	N	null	false
1001	2015-01-01T00:45:00	1,140	3	0	N	null	false
1001	2015-01-01T01:00:00	1,830	6	0	N	null	false
1001	2015-01-01T01:15:00	2,916	9	0	N	null	false
1001	2015-01-01T01:30:00	3,372	11	0	N	null	false
1001	2015-01-01T01:45:00	3,768	13	0	N	null	false
1001	2015-01-01T02:00:00	3,588	10	0	N	null	false
1001	2015-01-01T02:15:00	2,868	9	0	N	null	false
1001	2015-01-01T02:30:00	2,364	9	0	N	null	false
1001	2015-01-01T02:45:00	2,136	7	0	N	null	false
1001	2015-01-01T03:00:00	1,572	6	0	N	null	false
1001	2015-01-01T03:15:00	1,530	6	0	N	null	false
1001	2015-01-01T03:30:00	1,440	4	0	N	null	false
1001	2015-01-01T03:45:00	1,008	4	0	N	null	false
1001	2015-01-01T04:00:00	1,185	3	0	N	null	false
1001	2015-01-01T04:15:00	960	3	0	N	null	false
1001	2015-01-01T04:30:00	552	1	0	N	null	false
1001	2015-01-01T04:45:00	600	1	0	N	null	false
1001	2015-01-01T05:00:00	432	1	0	N	null	false
1001	2015-01-01T05:15:00	372	1	0	N	null	false
1001	2015-01-01T05:30:00	372	1	0	N	null	false
1001	2015-01-01T05:45:00	564	2	0	N	null	false
1001	2015-01-01T06:00:00	555	2	0	N	null	false
1001	2015-01-01T06:15:00	432	1	0	N	null	false
1001	2015-01-01T06:30:00	825	2	0	N	null	false
1001	2015-01-01T06:45:00	860	2	0	N	null	false
1001	2015-01-01T07:00:00	1,065	3	0	N	null	false
1001	2015-01-01T07:15:00	1,068	3	0	N	null	false
1001	2015-01-01T07:30:00	924	3	0	N	null	false
1001	2015-01-01T07:45:00	864	3	0	N	null	false
1001	2015-01-01T08:00:00	1,032	5	0	N	null	false
1001	2015-01-01T08:15:00	888	3	0	N	null	false
1001	2015-01-01T08:30:00	810	2	0	N	null	false
1001	2015-01-01T08:45:00	540	1	0	N	null	false
1001	2015-01-01T09:00:00	504	1	0	N	null	false
1001	2015-01-01T09:15:00	684	2	0	N	null	false
1001	2015-01-01T09:30:00	684	2	0	N	null	false
1001	2015-01-01T09:45:00	510	2	0	N	null	false
1001	2015-01-01T10:00:00	624	2	0	N	null	false
1001	2015-01-01T10:15:00	420	2	0	N	null	false
1001	2015-01-01T10:30:00	525	2	0	N	null	false
1001	2015-01-01T10:45:00	444	1	0	N	null	false
1001	2015-01-01T11:00:00	744	2	0	N	null	false
1001	2015-01-01T11:15:00	660	2	0	N	null	false
1001	2015-01-01T11:30:00	564	2	0	N	null	false
1001	2015-01-01T11:45:00	924	3	0	N	null	false
1001	2015-01-01T12:00:00	1,224	4	0	N	null	false
1001	2015-01-01T12:15:00	1,035	3	0	N	null	false
1001	2015-01-01T12:30:00	1,056	3	0	N	null	false
1001	2015-01-01T12:45:00	1,416	4	0	N	null	false
1001	2015-01-01T13:00:00	1,320	3	0	N	null	false
1001	2015-01-01T13:15:00	1,632	4	0	N	null	false
1001	2015-01-01T13:30:00	2,244	6	0	N	null	false
1001	2015-01-01T13:45:00	2,424	7	0	N	null	false
1001	2015-01-01T14:00:00	2,388	7	0	N	null	false
1001	2015-01-01T14:15:00	2,712	7	0	N	null	false
1001	2015-01-01T14:30:00	2,760	7	0	N	null	false
1001	2015-01-01T14:45:00	3,048	8	0	N	null	false
1001	2015-01-01T15:00:00	2,268	7	0	N	null	false
1001	2015-01-01T15:15:00	1,752	4	0	N	null	false
1001	2015-01-01T15:30:00	1,575	5	0	N	null	false
1001	2015-01-01T15:45:00	1,176	3	0	N	null	false
1001	2015-01-01T16:00:00	1,080	4	0	N	null	false
1001	2015-01-01T16:15:00	1,005	4	0	N	null	false
1001	2015-01-01T16:30:00	1,020	3	0	N	null	false
1001	2015-01-01T16:45:00	1,056	3	0	N	null	false
1001	2015-01-01T17:00:00	1,350	4	0	N	null	false
1001	2015-01-01T17:15:00	1,632	4	0	N	null	false
1001	2015-01-01T17:30:00	1,635	5	0	N	null	false
1001	2015-01-01T17:45:00	2,100	8	0	N	null	false
1001	2015-01-01T18:00:00	2,520	9	0	N	null	false
1001	2015-01-01T18:15:00	2,010	7	0	N	null	false
1001	2015-01-01T18:30:00	3,264	11	0	N	null	false
1001	2015-01-01T18:45:00	3,012	11	0	N	null	false
1001	2015-01-01T19:00:00	3,510	9	0	N	null	false
1001	2015-01-01T19:15:00	3,312	10	0	N	null	false
1001	2015-01-01T19:30:00	3,408	10	0	N	null	false
1001	2015-01-01T19:45:00	3,384	10	0	N	null	false
1001	2015-01-01T20:00:00	3,876	11	0	N	null	false
1001	2015-01-01T20:15:00	3,780	11	0	N	null	false
1001	2015-01-01T20:30:00	2,640	9	0	N	null	false
1001	2015-01-01T20:45:00	2,820	8	0	N	null	false
1001	2015-01-01T21:00:00	2,412	9	0	N	null	false
1001	2015-01-01T21:15:00	1,920	5	0	N	null	false
1001	2015-01-01T21:30:00	2,292	8	0	N	null	false
1001	2015-01-01T21:45:00	1,720	5	0	N	null	false
1001	2015-01-01T22:00:00	2,196	8	0	N	null	false
1001	2015-01-01T22:15:00	1,848	6	0	N	null	false
1001	2015-01-01T22:30:00	1,260	5	0	N	null	false
1001	2015-01-01T22:45:00	1,470	5	0	N	null	false
1001	2015-01-01T23:00:00	1,060	2	0	N	null	false
1001	2015-01-01T23:15:00	980	3	0	N	null	false
1001	2015-01-01T23:30:00	940	2	0	N	null	false
1001	2015-01-01T23:45:00	620	2	0	N	null	false
1001	2015-01-02T00:00:00	675	1	0	N	null	false
1001	2015-01-02T00:15:00	600	2	0	N	null	false
1001	2015-01-02T00:30:00	320	1	0	N	null	false

End of preview. Expand in Data Studio

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

As long as you include the following notice in your work:

Copyright © 2023 David María Arribas david.maria@urjc.es
This software and dataset are provided "as is", without warranty of any kind, express or implied.

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}
}

Downloads last month: 67

Size of the auto-converted Parquet files (First 5GB):

1.27 GB

Number of rows (First 5GB):

94,040,000

Estimated number of rows:

1,462,449,755