Taxi trajectory data from Porto, Portugal, converted into graph-structured snapshots. The dataset is hosted on Kaggle, but its author, organization, and specific collection details are unknown. The original data likely contains GPS coordinates and timestamps, which have been processed into a graph representation.
Use Cases
- Train a graph neural network for traffic flow prediction (inferred from domain, verify after download)
- Analyze urban mobility patterns using graph centrality measures (inferred from domain, verify after download)
- Benchmark spatio-temporal graph representation learning algorithms (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with an established data science community.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file size are unknown, which may limit suitability assessment.
Provenance
- Source
- Kaggle
- Geography
- Porto, Portugal