A video processing system for automated traffic data collection of gap size for roundabouts

Hai Dinh, Hua Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traffic data collection and analysis is essential for designing roundabouts and improving safety at roundabouts. One of the main interested traffic data for roundabouts is often gap size. However, manual collection of gaps size by human operators is extremely laborious. In this work, we developed a system/tool to allow data mining of the recorded videos for automated extraction of gap size. The developed system has two main modules. The tracking module is used to derive raw data, which are vast amount of resulting outputs of vehicle trajectories for all tracked vehicles, which provide rich information for traffic data extraction as the trajectories give the position, size, shape and speed of the vehicle at each time moment. A post-processing data mining module is then used to automatically extract the interested traffic data. The extracted gap size has been compared to ground truth manual measurements and it is shown that an accuracy of almost 100% has been achieved. Compared to manual inspection, the proposed system/tool significantly saves time and cost.

Original languageEnglish (US)
Title of host publication2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, CCECE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509055388
DOIs
StatePublished - Jun 12 2017
Event30th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2017 - Windsor, Canada
Duration: Apr 30 2017May 3 2017

Publication series

NameCanadian Conference on Electrical and Computer Engineering
ISSN (Print)0840-7789

Other

Other30th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2017
CountryCanada
CityWindsor
Period4/30/175/3/17

Fingerprint

Data mining
Trajectories
Tracked vehicles
Processing
Inspection
Costs

Cite this

Dinh, H., & Tang, H. (2017). A video processing system for automated traffic data collection of gap size for roundabouts. In 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, CCECE 2017 [7946597] (Canadian Conference on Electrical and Computer Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCECE.2017.7946597

A video processing system for automated traffic data collection of gap size for roundabouts. / Dinh, Hai; Tang, Hua.

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, CCECE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7946597 (Canadian Conference on Electrical and Computer Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dinh, H & Tang, H 2017, A video processing system for automated traffic data collection of gap size for roundabouts. in 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, CCECE 2017., 7946597, Canadian Conference on Electrical and Computer Engineering, Institute of Electrical and Electronics Engineers Inc., 30th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2017, Windsor, Canada, 4/30/17. https://doi.org/10.1109/CCECE.2017.7946597
Dinh H, Tang H. A video processing system for automated traffic data collection of gap size for roundabouts. In 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, CCECE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7946597. (Canadian Conference on Electrical and Computer Engineering). https://doi.org/10.1109/CCECE.2017.7946597
Dinh, Hai ; Tang, Hua. / A video processing system for automated traffic data collection of gap size for roundabouts. 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, CCECE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (Canadian Conference on Electrical and Computer Engineering).
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