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  • Data Visualization: 71-607-X2022018
    Description: 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) at 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 generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).
    Release date: 2024-06-17

  • Articles and reports: 18-001-X2022001
    Description:

    Monitoring traffic in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery.

    Release date: 2022-09-06

  • Surveys and statistical programs – Documentation: 23-26-0001
    Description:

    This project is an evidence-based measurement of mobility for key corridors in our urban centers across Canada. Transport Canada computes a mobility indicator to assess the impact of urban bottlenecks in Canada’s strategic trade corridors and the economy. This information is important for practitioners and policymakers as it goes beyond anecdotal evidence on a subject affecting millions of Canadians and our trade corridors. The mobility indicator in question is the Travel Time Index (TTI). It is the ratio of the measured travel time to the free-flow travel time. Free-flow travel time is measured overnight, when drivers are free to drive at their desired speed because of low volume traffic conditions.

    Release date: 2021-01-18
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  • Data Visualization: 71-607-X2022018
    Description: 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) at 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 generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).
    Release date: 2024-06-17
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Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 23-26-0001
    Description:

    This project is an evidence-based measurement of mobility for key corridors in our urban centers across Canada. Transport Canada computes a mobility indicator to assess the impact of urban bottlenecks in Canada’s strategic trade corridors and the economy. This information is important for practitioners and policymakers as it goes beyond anecdotal evidence on a subject affecting millions of Canadians and our trade corridors. The mobility indicator in question is the Travel Time Index (TTI). It is the ratio of the measured travel time to the free-flow travel time. Free-flow travel time is measured overnight, when drivers are free to drive at their desired speed because of low volume traffic conditions.

    Release date: 2021-01-18
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