Evaluating Different Methods for Estimating Queue Length on Access Ramps
Ramp metering is a traffic management strategy designed to mitigate congestion on freeways by adjusting the flow of traffic entering freeways. Ramps are often metered individually, where the ramp exit rate can be adjusted based on mainline congestion. Coordinated ramp metering is a higher-level strategy, where the exit rates across several adjacent ramps can be coordinated to reduce or eliminate mainline bottlenecks. In both individual or coordinated ramp metering systems, efficiency is gained when timely and accurate information about the ramp queue state is available. Currently, this information is collected using loop detectors, which exhibit limited accuracy in highly-congested (i.e., bumper-to-bumper) conditions. To this end, this project will develop a computer-vision-based method to infer queue states along the freeway ramps. The proposed method will be validated through comparisons against the loop detectors.
Language
- English
Project
- Status: Completed
- Funding: $108000
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Contract Numbers:
69A3551747108
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
North Dakota State University
Fargo, ND United States 58108 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Dept. of Civil and Environmental Engineering
University of Utah
Salt Lake City, UT United States -
Principal Investigators:
Markovic, Nikola
Rashidi, Abbas
- Start Date: 20221013
- Expected Completion Date: 20240731
- Actual Completion Date: 20231218
- USDOT Program: University Transportation Centers Program
- Source Data: MPC-699
Subject/Index Terms
- TRT Terms: Computer vision; Data collection; Ramp metering; Ramps; Traffic queuing
- Subject Areas: Administration and Management; Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01863394
- Record Type: Research project
- Source Agency: Mountain-Plains Consortium
- Contract Numbers: 69A3551747108
- Files: UTC, RIP
- Created Date: Nov 8 2022 5:28PM