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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Drivers’ Attitudes and Behaviors Toward Bicyclists: Intermodal Interactions and Implications for Road Safety
Tara Goddard
Psychology teaches us that implicit biases—attitudes we hold on a level below consciousness, and may not even be aware of—can have a heavy influence on split-second decisions. In a fast-paced activity like driving, with a lot of moving parts in a complex environment, we make those snap decisions all the time. There are obvious safety implications to this, particularly for the most vulnerable road users. That’s why TREC researchers are becoming more and more interested in studying implicit bia...
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