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 ...
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Addressing Bicycle-Vehicle Conflicts with Alternate Signal Control Strategies
Sirisha Kothuri
Christopher Monsere , Krista Nordback , Edward Smaglik
There is nationwide interest in supporting sustainable and active transportation modes such as bicycling and walking due to the many benefits associated with them, including reduced congestion, lower emissions and improved health. Although the number of bicyclists is increasing, safety remains a top concern. In urban areas, a common crash type involving bicycles at intersections is the “right hook” where a right-turning vehicle collides with a through bicyclist. While geometric treatments and...
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