Traffic volume estimation from traffic camera imagery : toward real-time traffic data streams / by James Eckert and Ala'a Al-Habashna.: CS18-001/2022-1E-PDF

"Traffic monitoring 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. The process started with research on available traffic camera programs in Canada. Then, a prototype system was developed to collect imagery from three traffic camera jurisdictions through use of their Application Programming Interfaces (APIs). Different classes of vehicles were detected from these images. Object detection was implemented using the open source You Only Look Once, Version 3 object-detection model that was trained on the Common Objects in Context dataset. The processing system pulls static images at high-frequency intervals from the traffic camera APIs and generates real-time counts of the detected vehicles (car, bus, motorcycle, etc.). Finally, different methods of estimating traffic volumes from the counts were implemented and assessed. An analysis of the output data shows that clear traffic patterns and trends can be detected, lending support to an expansion of this system to a full-scale statistical program on a real-time mobility data"--Summary, page 7.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.914432&sl=0

Publication information
Department/Agency Statistics Canada, issuing body.
Title Traffic volume estimation from traffic camera imagery : toward real-time traffic data streams / by James Eckert and Ala'a Al-Habashna.
Series title Reports on special business projects
Publication type Series - View Master Record
Language [English]
Other language editions [French]
Format Electronic
Electronic document
Note(s) Cover title.
Issued also in HTML format.
"Release date: September 6, 2022."
Issued also in French under title: Estimation du débit de circulation à partir des images de caméras de circulation : vers des flux de données sur la circulation en temps réel.
Includes bibliographical references (pages 26-27).
Publishing information [Ottawa] : Statistics Canada = Statistique Canada, 2022.
©2022
Author / Contributor Eckert, James B., author.
Description 1 online resource (27 pages) : illustrations, maps, graphs, photographs.
ISBN 9780660450414
Catalogue number
  • CS18-001/2022-1E-PDF
Departmental catalogue number 18-001-X
Subject terms Traffic monitoring -- Canada -- Statistics.
Real-time data processing -- Canada -- Statistics.
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