United States Department of Transportation
i
Evaluating Different Methods for Estimating Queue Length on Access Ramps [Research Brief]
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2023-11-01
[PDF-392.77 KB]
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Abstract:Researchers used surveillance camera videos from four locations along Interstate Highway 15 in Utah to develop and evaluate the framework for using object detection and tracking algorithms. Researchers developed the framework by combining object detection and tracking to extract data from the access ramps. The framework uses the videos as input to the framework and determines the highway on-ramp queueing parameters such as queue length and queuing time, which is important information for optimizing signal timing. Additionally, this study provides a detailed implementation plan for the use of computer vision, identifies the optimum locations for camera installations, and defines hardware requirements.
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