MPC
Project Details

Title:	Evaluating Different Methods for Estimating Queue Length on Access Ramps
Principal Investigators:	Nikola Markovic and Abbas Rashidi
University:	University of Utah
Status:	Completed
Year:	2022
Grant #:	69A3551747108 (FAST Act)
Project #:	MPC-699
RH Display ID:	159663
Keywords:	computer vision, data collection, ramp metering, ramps, traffic queuing

Abstract

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.

Project Deliverables

• [Final Report] Evaluating Different Methods for Estimating Queue Length on Access Ramps — MPC-23-507
  • View Research Brief

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