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This project enhances CAV safety and coordination by developing a collaborative perception framework using adaptive V2X communication to improve detection accuracy and reduce uncertainty in complex driving environments.
This study seeks to improve public transportation ridership by optimizing how transit information is designed and shared with potential users.
This study aims to enhance transit connectivity and equity for disadvantaged communities through Mobility-on-Demand services, focusing on Shared Autonomous Vehicles as a first- and last-mile solution.
This study examines drivers' visual attention and stress responses to vulnerable road users to inform safer roadway designs and support the USDOT's goal of reducing traffic fatalities.
This project focuses on improving public transportation inclusivity for women and LGBTQIA+ individuals by identifying barriers, conducting surveys, and developing tools to enhance safety and accessibility.
This project enhances trust in autonomous vehicles by developing methods to explain the decisions of deep learning models, making AV systems more transparent and accountable for safer, human-centered design.
This project focuses on assessing cybersecurity readiness in state-level transportation systems through exercises using the DECIDE® platform and the development of the SECURE concept, aiming to enhance protection against cyber threats in intelligent transportation systems across New England states.
This project evaluates the performance of battery electric vehicles (BEVs) and their safety systems in mountainous regions and cold climates, focusing on the impact of terrain and weather on vehicle range and automated driving features, with implications for optimizing charging infrastructure and vehicle charger distribution.
The project focuses on evaluating the impact of GRIDSMART technology on improving intersection safety by analyzing turning movement and traffic data to predict and mitigate vehicle crashes.

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