Hourly Traffic Counts from a Telraam Camera in Mouans-Sartoux, France
arff
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Description
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
Data is licensed under CC0-1.0 (public domain dedication).