Computer Vision-Enabled Smart Traffic Monitoring for Sustainable Transportation Management

Yunli Shao, Chieh Ross Wang, Andy Berres, Jovan Yoshioka, Adian Cook, Haowen Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Transportation accounts for a significant portion of total global energy consumption. Excessive energy consumption usually occurs in urban traffic environments with congestion and travel delays. With the advancement of remote sensing and computer vision technologies, real-time traffic conditions can be monitored. Therefore, sustainable transportation management strategies can be developed to optimize the overall energy and environment performance and reduce congestion and emissions. This work presents a smart traffic monitoring system based on remote camera sensors. Real-time and historical traffic conditions at the US Department of Energy's Oak Ridge National Laboratory (ORNL) were monitored and analyzed to develop optimal transportation management strategies for sustainability. Computer vision algorithms were developed and applied to process the real-time camera data to obtain complete traffic information across the ORNL campus. Weeks of historical data were collected and processed to analyze the traffic and identify bottlenecks. The proposed traffic monitoring and management approach can be applied and extended to benefit other campuses or urban areas.

Original languageEnglish
Title of host publicationInternational Conference on Transportation and Development 2022
Subtitle of host publicationApplication of Emerging Technologies - Selected Papers from the Proceedings of the International Conference on Transportation and Development 2022
EditorsHeng Wei
PublisherAmerican Society of Civil Engineers (ASCE)
Pages34-45
Number of pages12
ISBN (Electronic)9780784484319
DOIs
StatePublished - 2022
EventInternational Conference on Transportation and Development 2022, ICTD 2022 - Seattle, United States
Duration: May 31 2022Jun 3 2022

Publication series

NameInternational Conference on Transportation and Development 2022: Application of Emerging Technologies - Selected Papers from the Proceedings of the International Conference on Transportation and Development 2022
Volume1

Conference

ConferenceInternational Conference on Transportation and Development 2022, ICTD 2022
Country/TerritoryUnited States
CitySeattle
Period05/31/2206/3/22

Funding

This research was funded by the Sustainable ORNL Campus Initiative. The authors would like to thank the ORNL community, especially Russ Henderson, Paul Lane, Ryan Hoomes, Bryan Gross, and Glenn Cross, for their support. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

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