Hourly Traffic Counts from a Telraam Camera in Mouans-Sartoux, France

Paris, France hosts a Telraam traffic-counting camera at Place Général de Gaulle in Mouans-Sartoux. The dataset contains hourly counts of pedestrians, cyclists, cars, and heavy vehicles, along with vehicle speed histograms and camera activity percentages. Data is collected via a Raspberry Pi-based device using image recognition and is available via a public API.

Use Cases

• Forecasting hourly traffic flow based on historical pedestrian, bicycle, car, and lorry counts.
• Analyzing vehicle speed distribution patterns using the provided speed histogram columns (carspeed00, carspeed10, etc.).
• Studying the correlation between camera activity percentage (pctup) and traffic volume estimates.
• Comparing directional traffic flows using the left (lft) and right (rgt) count columns.

Strengths

• Contains distinct counts for four traffic modes (pedestrian, bike, car, lorry) and their directional splits.
• Includes a histogram of car speeds across seven speed intervals, providing granular speed distribution data.
• Data is sourced from a specific, documented sensor location with a public API for real-time access.

Limitations

• Row count and temporal coverage are unknown, limiting suitability assessment for large-scale models.
• Data collection is constrained by daylight hours and camera uptime, as indicated by the activity percentage.
• Column-level documentation is absent; field semantics must be inferred from the description.

Provenance

Source

Telraam citizen-science network

Collection Method

Collected via a Raspberry Pi-based camera device performing image recognition on a public street.

Geography

Place Général de Gaulle, Mouans-Sartoux, France