** Static data set describing trajectories related to multimodal counting sites (Bike, Trottinette, 2RM, VL, PL, Bus-car).**
The City of Paris collects vehicle counting data by:
* **travel modes** (Trottinettes, Trottinettes + Bicycles (when the distinction between these two modes of travel is not implemented on the sensor), Bikes, 2 motorised wheels, Light vehicles ‘3.5 tonnes, Heavy vehicles’ 3.5 tonnes, Buses & coaches),
* **traffic queue types** (Corona-piste, Bicycle paths, General traffic routes),
* **traffic direction**.
This data is built using a **artificial intelligence algorithm** that analyses images from thermal cameras installed in public space.
** Images from thermal cameras do not identify faces or license plates. The data thus collected does not present 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 into the counting dataset ****[** Multimodal counting – Counts**](https://parisdata.opendatasoft.com/explore/dataset/comptage-multimodal-comptages/information/?disjunctive.label&disjunctive.mode&disjunctive.voie&disjunctive.sens&disjunctive.trajectoire)
**Accuracy on the content of the “Trajectory” field:**
It is a string designating the detection start area (input) and the detection output zone (Enter > Output)
**A trajectory is characterised by a direction of circulation and by the traffic line taken by the vehicle entering and exiting.**
Example: A bike that can in the detection area of the thermal camera enter the bike path and exit the general traffic lane.