Evaluation and Refinement of Minnesota Queue Warning Systems

Evaluation and Refinement of Minnesota Queue Warning Systems

September 2018 - March 2023 | by John Hourdos, Jake Robbennolt

Purpose:

This study evaluates the MN-QWARN queue warning algorithm at a new freeway location, revealing low detection and high false alarm rates—particularly a 25% detection rate on the right lane and 64% on the left—indicating the need for recalibration to improve performance. High over-warning rates were also observed on both lanes

Graph showing the estimation of density and flow rate. Y axis is time, X axis is space. Arrival traffic enters from the top left with a steep negative slope, enters the Queue Shockwave line, from where the slope becomes zero until it reaches the discharge shockwave and departure traffic continues with a steep negative slope

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Location