Metro Traffic Volume Data for Anomaly Detection

A dataset for discovery and anomaly detection on metro traffic volume. It was authored by Mohammed Saad Javeed and last updated on May 29, 2026. The dataset is small, with a file size of 5.5 KB.

Use Cases

• Detect unusual traffic patterns based on metro traffic volume data.
• Train unsupervised learning models for anomaly detection on traffic data.
• Benchmark anomaly detection algorithms using a specific metro traffic dataset.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a focused and manageable scope.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-29 17:32:04; freshness should be verified.