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Computer Vision-Enabled Smart Traffic Monitoring for Sustainable Transportation Management...

Publication Type
Conference Paper
Journal Name
International Conference on Transportation and Development 2022: Application of Emerging Technologies
Book Title
Proceedings of the International Conference on Transportation and Development 2022
Publication Date
Page Numbers
34 to 45
Publisher Location
Virginia, United States of America
Conference Name
ASCE International Conference on Transportation and Development
Conference Location
Seattle, Washington, United States of America
Conference Sponsor
Conference Date

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.