Datasets:

dmariaa70
/

GO-MO

sensor_id int64 0 10.6k	entry_date stringdate 2015-01-01 00:00:00 2015-07-31 23:45:00	traffic_intensity int64 0 91.4k	sensor_occupancy int64 -1 501	avg_speed int64 0 4.64k	read_error stringclasses 3 values	original_traffic_intensity float64
0	2015-01-22 14:30:00	117	3	22	N	null
1,001	2015-01-01 00:00:00	210	0	0	N	null
1,001	2015-01-01 00:15:00	216	1	0	N	null
1,001	2015-01-01 00:30:00	180	0	0	N	null
1,001	2015-01-01 00:45:00	1,140	3	0	N	null
1,001	2015-01-01 01:00:00	1,830	6	0	N	null
1,001	2015-01-01 01:15:00	2,916	9	0	N	null
1,001	2015-01-01 01:30:00	3,372	11	0	N	null
1,001	2015-01-01 01:45:00	3,768	13	0	N	null
1,001	2015-01-01 02:00:00	3,588	10	0	N	null
1,001	2015-01-01 02:15:00	2,868	9	0	N	null
1,001	2015-01-01 02:30:00	2,364	9	0	N	null
1,001	2015-01-01 02:45:00	2,136	7	0	N	null
1,001	2015-01-01 03:00:00	1,572	6	0	N	null
1,001	2015-01-01 03:15:00	1,530	6	0	N	null
1,001	2015-01-01 03:30:00	1,440	4	0	N	null
1,001	2015-01-01 03:45:00	1,008	4	0	N	null
1,001	2015-01-01 04:00:00	1,185	3	0	N	null
1,001	2015-01-01 04:15:00	960	3	0	N	null
1,001	2015-01-01 04:30:00	552	1	0	N	null
1,001	2015-01-01 04:45:00	600	1	0	N	null
1,001	2015-01-01 05:00:00	432	1	0	N	null
1,001	2015-01-01 05:15:00	372	1	0	N	null
1,001	2015-01-01 05:30:00	372	1	0	N	null
1,001	2015-01-01 05:45:00	564	2	0	N	null
1,001	2015-01-01 06:00:00	555	2	0	N	null
1,001	2015-01-01 06:15:00	432	1	0	N	null
1,001	2015-01-01 06:30:00	825	2	0	N	null
1,001	2015-01-01 06:45:00	860	2	0	N	null
1,001	2015-01-01 07:00:00	1,065	3	0	N	null
1,001	2015-01-01 07:15:00	1,068	3	0	N	null
1,001	2015-01-01 07:30:00	924	3	0	N	null
1,001	2015-01-01 07:45:00	864	3	0	N	null
1,001	2015-01-01 08:00:00	1,032	5	0	N	null
1,001	2015-01-01 08:15:00	888	3	0	N	null
1,001	2015-01-01 08:30:00	810	2	0	N	null
1,001	2015-01-01 08:45:00	540	1	0	N	null
1,001	2015-01-01 09:00:00	504	1	0	N	null
1,001	2015-01-01 09:15:00	684	2	0	N	null
1,001	2015-01-01 09:30:00	684	2	0	N	null
1,001	2015-01-01 09:45:00	510	2	0	N	null
1,001	2015-01-01 10:00:00	624	2	0	N	null
1,001	2015-01-01 10:15:00	420	2	0	N	null
1,001	2015-01-01 10:30:00	525	2	0	N	null
1,001	2015-01-01 10:45:00	444	1	0	N	null
1,001	2015-01-01 11:00:00	744	2	0	N	null
1,001	2015-01-01 11:15:00	660	2	0	N	null
1,001	2015-01-01 11:30:00	564	2	0	N	null
1,001	2015-01-01 11:45:00	924	3	0	N	null
1,001	2015-01-01 12:00:00	1,224	4	0	N	null
1,001	2015-01-01 12:15:00	1,035	3	0	N	null
1,001	2015-01-01 12:30:00	1,056	3	0	N	null
1,001	2015-01-01 12:45:00	1,416	4	0	N	null
1,001	2015-01-01 13:00:00	1,320	3	0	N	null
1,001	2015-01-01 13:15:00	1,632	4	0	N	null
1,001	2015-01-01 13:30:00	2,244	6	0	N	null
1,001	2015-01-01 13:45:00	2,424	7	0	N	null
1,001	2015-01-01 14:00:00	2,388	7	0	N	null
1,001	2015-01-01 14:15:00	2,712	7	0	N	null
1,001	2015-01-01 14:30:00	2,760	7	0	N	null
1,001	2015-01-01 14:45:00	3,048	8	0	N	null
1,001	2015-01-01 15:00:00	2,268	7	0	N	null
1,001	2015-01-01 15:15:00	1,752	4	0	N	null
1,001	2015-01-01 15:30:00	1,575	5	0	N	null
1,001	2015-01-01 15:45:00	1,176	3	0	N	null
1,001	2015-01-01 16:00:00	1,080	4	0	N	null
1,001	2015-01-01 16:15:00	1,005	4	0	N	null
1,001	2015-01-01 16:30:00	1,020	3	0	N	null
1,001	2015-01-01 16:45:00	1,056	3	0	N	null
1,001	2015-01-01 17:00:00	1,350	4	0	N	null
1,001	2015-01-01 17:15:00	1,632	4	0	N	null
1,001	2015-01-01 17:30:00	1,635	5	0	N	null
1,001	2015-01-01 17:45:00	2,100	8	0	N	null
1,001	2015-01-01 18:00:00	2,520	9	0	N	null
1,001	2015-01-01 18:15:00	2,010	7	0	N	null
1,001	2015-01-01 18:30:00	3,264	11	0	N	null
1,001	2015-01-01 18:45:00	3,012	11	0	N	null
1,001	2015-01-01 19:00:00	3,510	9	0	N	null
1,001	2015-01-01 19:15:00	3,312	10	0	N	null
1,001	2015-01-01 19:30:00	3,408	10	0	N	null
1,001	2015-01-01 19:45:00	3,384	10	0	N	null
1,001	2015-01-01 20:00:00	3,876	11	0	N	null
1,001	2015-01-01 20:15:00	3,780	11	0	N	null
1,001	2015-01-01 20:30:00	2,640	9	0	N	null
1,001	2015-01-01 20:45:00	2,820	8	0	N	null
1,001	2015-01-01 21:00:00	2,412	9	0	N	null
1,001	2015-01-01 21:15:00	1,920	5	0	N	null
1,001	2015-01-01 21:30:00	2,292	8	0	N	null
1,001	2015-01-01 21:45:00	1,720	5	0	N	null
1,001	2015-01-01 22:00:00	2,196	8	0	N	null
1,001	2015-01-01 22:15:00	1,848	6	0	N	null
1,001	2015-01-01 22:30:00	1,260	5	0	N	null
1,001	2015-01-01 22:45:00	1,470	5	0	N	null
1,001	2015-01-01 23:00:00	1,060	2	0	N	null
1,001	2015-01-01 23:15:00	980	3	0	N	null
1,001	2015-01-01 23:30:00	940	2	0	N	null
1,001	2015-01-01 23:45:00	620	2	0	N	null
1,001	2015-01-02 00:00:00	675	1	0	N	null
1,001	2015-01-02 00:15:00	600	2	0	N	null
1,001	2015-01-02 00:30:00	320	1	0	N	null

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 [email protected]
This software and dataset are provided "as is", without warranty of any kind, express or implied.

The full license text is available here.

📚 Citation

(pending)

Downloads last month: 37

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

810 MB

Number of rows (First 5GB):

65,740,000

Estimated number of rows:

1,461,884,560