Implementation of a weather responsive traffic estimation and prediction system (TrEPS) for signal timing at Utah DOT.
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Published Date:2014-07-01
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Language:English
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Abstract:The overall goal of this project is to integrate and operationalize weather-sensitive TrEPS models calibrated for the Salt Lake City region to support weather-responsive traffic signal timing implementation and evaluation in the Riverdale corridor in Ogden, UT. The TrEPS model selected for this study is DYNASMART-X, a real-time system that interacts continuously with loop detectors, roadside sensors and vehicle probes, providing real-time estimates of traffic conditions, network flow patterns and routing information. The results confirm the ability of the calibrated TrEPS to replicate observed traffic patterns in a large corridor network. With the current detectors and roadside sensors coverage, DYNASMART-X is able to use available real-time measurements to improve the quality of its estimation and future prediction, and thus provide a reliable basis for improved traffic management decisions that anticipate future conditions. This study successfully demonstrates a working TrEPS system installed at the UDOT Traffic Management Center and leverages the existing traffic detection installation to extract real-time traffic state variables as a real-time input to the system.
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