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Research Highlights

Machine Learning and Big Data-Based Approaches for Quality Freeway Volumes

Adrian Cottam
Traffic volumes are essential for the operation of Intelligent Transportation Systems (ITS) and for use in performance metrics for Transportation Systems Management and Operations (TSMO). Maintaining high quality freeway volumes is paramount to ensure that freeway ITS solutions, such as ramp meters, operate smoothly. Furthermore, freeway performance metrics need quality volume data to provide an accurate portrayal of real-world conditions. This dissertation focuses on improving the quality ... Read More

The Effects of Commuter Rail on Population Deconcentration and Commuting: A Salt Lake City Case Study

Joanna Ganning
The Wasatch Front is a rapidly growing metropolitan area situated in a region with natural features that extraordinarily limit growth. The Wasatch Front Mountains constrain growth on one side while the Great Salt Lake and the Oquirrh mountains constrain the other. Among the nation’s worst winter inversions occur along the Wasatch Front, whereby high-pressure weather systems trap the air, and all the pollution added by humans, in the valley. The inversions produce red air quality days and sign... Read More