Traffic Flow Dashboard

Experimental information

Statistics Canada has launched the Traffic Flow Dashboard as an experimental statistic to provide information on the traffic flow on selected road segments in the cities of Calgary, Toronto, and Montreal, and in the provinces of Ontario and Alberta.

Note: This visual will timeout after 15 minutes of inactivity. Refreshing the page will reload the visual; however, any changes made will be lost.

Start of visual interactive dashboard
End of visual interactive dashboard

The file size is 6936 KB.

Additional information

This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL), CSBP, Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generate real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).

More information on the methods used to generate traffic flow estimates can be found at the link below.

Traffic volume estimation from traffic camera imagery: Toward real-time traffic data streams

Traffic camera imagery can be accessed from the following links:

Report a problem on this page

Is something not working? Is there information outdated? Can't find what you're looking for?

Please contact us and let us know how we can help you.

Privacy notice

Date modified: