Abstract

The purpose of this research was to develop an algorithm that could predict ramp meter wait time at metered freeway on-ramps throughout the state of Utah using existing loop detector systems on the ramps. The loop detectors provided data in 60-second increments that include volume, occupancy, and the metering rate. Using these data sources, several ramp meter queue length algorithms were applied; these predicted queue lengths were then converted into wait times by using the metering rate provided by the detector data. A conservation model and several variations of a Kalman filter model generated predicted queue lengths and wait times that were compared to the observed queue lengths. The Vigos model—the model that yielded the best results—provided wait time estimates that were generally within approximately 45 seconds of the observed wait time. This model is simple to implement and can be automated for the Utah Department of Transportation (UDOT) to provide wait time estimates at any metered on-ramp throughout the state.

Degree

MS

College and Department

Civil and Environmental Engineering

Rights

https://lib.byu.edu/about/copyright/

Date Submitted

2022-04-19

Document Type

Thesis

Handle

http://hdl.lib.byu.edu/1877/etd12104

Keywords

ramp meter, queue length, wait time, delay, freeway, loop detector, Kalman filter

Language

english

Included in

Engineering Commons

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