Urban Mobility Sensor Dataset
A curated dataset capturing multimodal transit sensor readings across Porto for congestion modeling.
The dataset aggregates IoT sensors, AVL feeds, and smart card usage to model multimodal congestion patterns. Feature engineering scripts are available in the companion repository.
Data Schema
| Field | Description | Type |
|---|---|---|
| timestamp | UTC timestamp of the observation | datetime |
| station_id | Unique identifier for the sensor station | string |
| bike_count | Number of bikes detected during the interval | integer |
| bus_passengers | Estimated passenger count derived from smart card data | integer |
How to cite
Use the quick export buttons to save citations for reference managers or copy the formatted text directly.
Diogo Ribeiro (2026). Urban Mobility Sensor Dataset. DataLog | Data Science & Research Theme. https://diogoribeiro7.github.io/analytics-blog-jekyll/datasets/sample-dataset/.
BibTeX
RIS
EndNote
Open science & reproducibility badges
These badges highlight the transparency practices applied to this work. Hover or focus on each badge to learn more about the criteria.
- Open Data Dataset and code repository published with permissive license. Public repository, DOI issued, README with reproduction steps.
- Reproducible Workflow Containerized environment and automated tests provided. Continuous integration pipeline with reproducibility checks.
- Transparent Peer Review Peer review reports archived with DOI and linked to article. Open peer review statement and archived reports on Zenodo.