Vehicle Passage Data from 14 Sensor Portals in Aosta Valley, Italy

Over 41 million vehicle passages collected from 14 sensor portals in the Aosta Valley region of Italy. The dataset, authored by Marco Alderighi and last updated in May 2026, supports an AI framework for monitoring and forecasting tourist flows.

Use Cases

• Training adaptive ensemble models for tourist flow forecasting based on the described vehicle passage data.
• Analyzing the impact of seasonal variations on traffic patterns based on the multi-year sensor data.
• Developing real-time monitoring systems for destination management based on the integrated sensor and meteorological data mentioned.
• Benchmarking machine learning algorithms like XGBoost and LSTM for time-series prediction based on the experimental validation described.

Strengths

• Contains over 41 million data points, providing substantial scale for model training.
• Integrates data from 14 strategically placed sensor portals, likely offering geographic coverage.
• Experimental results cited in the description show MAE improvements of 23.7% and MSE reductions of 31.2% for the derived models.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (5.5 KB), suggesting it may contain only summary or location metadata, not the raw passage records.

Provenance

Source

figshare

Collection Method

Collected from sensor portals on highways and valley roads.

Time Range

The temporal coverage is not explicitly stated in the provided input.

Freshness

Last updated 2026-05-06 17:37:47; freshness should be verified.

Geography

Aosta Valley region, Italy