Static dataset describing the trajectories linked to multimodal counting sites (Bike, Scooter, 2WD, VL, HGV, Bus-car).

The City of Paris collects vehicle count data by:

Travel modes (Scooters, Scooters + Bicycles (when the distinction between these 2 travel modes is not implemented on the sensor ), Bicycles, 2 motorized wheels, Light vehicles < 3.5 tonnes, Heavy vehicles > 3.5 tonnes, Buses & coaches),
Traffic Lane Types (Corona Lanes, Bike Lanes, General Lanes),
Direction of flow.

This data is built using an artificial intelligence algorithm which analyzes images from thermal cameras installed in public spaces.

The images from thermal cameras do not allow the identification of faces or license plates. The data collected in this way does not contain any personal or individual data.

No image is transferred or stored on computer servers, the analysis being carried out as close as possible to the thermal camera. Only counting data is transmitted.

This dataset feeds the counting dataset Multimodal count - Counts

Clarification on the content of the "Trajectory" field:

This is a character string designating the detection start zone (input) and the detection exit zone (Input > Output)

A trajectory is characterized by a direction of traffic and by the line of traffic taken by the vehicle on entry and exit.

Gruppi

Analytics & Learning

Micro-mobility

Mobility & Transport