Traffic Counting Data from a Citizen Camera in Paris

Telraam citizen science data provides hourly counts of pedestrians, cyclists, cars, and heavy vehicles from a camera on Place Général de Gaulle in Mouans-Sartoux, France. The dataset includes percentages of camera activity, directional counts, and a histogram of car speeds. Data is sourced from a Telraam device, which uses a Raspberry Pi for image analysis.

Use Cases

• Forecasting hourly traffic flow based on time-series counts of pedestrians, bikes, cars, and lorries.
• Analyzing directional traffic patterns using separate columns for left and right lane counts.
• Modeling vehicle speed distributions based on the provided car speed histogram columns.
• Estimating actual traffic volume by adjusting raw counts with the provided camera activity percentage.

Strengths

• Data includes distinct counts for four object types: pedestrians, bikes, cars, and lorries.
• Provides directional traffic breakdown with separate columns for left and right lane counts.
• Includes a histogram of car speeds across seven speed intervals.
• Records camera activity percentage to account for partial counting periods.

Limitations

• Row count and dataset size are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Telraam citizen science device.

Collection Method

Collected via a camera and Raspberry Pi performing image analysis on object size and speed.

Geography

Place Général de Gaulle, Mouans-Sartoux, France.