This research addresses work zone safety hazards through human-in-the-loop virtual reality simulation to evaluate alert system effectiveness for worker protection,...

This research addresses the critical need for integrating transportation asset management (TAM) with transportation planning practices in rural and small...

This research develops innovative methods for improving intersection safety through three integrated approaches: optimized intersection planning, connected and automated vehicle...

This research develops and evaluates optimal speed control strategies for Connected and Automated Vehicles (CAVs) at the network level, addressing...

This research conducts field deployment and testing of enhanced traffic signal control systems using the Laguna-Du-Rakha formulation to optimize signal...

This research develops a physics-informed deep learning (PIDL) framework to address critical data blind spots in transportation networks caused by...

This research enhances transportation safety through large-scale deployment of intelligent video analysis and artificial intelligence techniques for real-time infrastructure monitoring,...

This research addresses speeding issues on residential roads that frequently result in crashes involving non-motorized road users by utilizing connected...

This research enhances transportation infrastructure design processes by addressing limitations of modular workflows where roadway, hydrology, lighting, and utilities design...

This research develops a Generative AI framework for evaluating transportation agency resolution of public complaints and comments, addressing the challenge...

This research establishes a comprehensive evaluation framework for Quick Build interventions using portable LiDAR technology, driving simulation, and field data...

This research advances Connected and Automated Vehicle infrastructure through Phase III expansion of an established testbed, integrating LiDAR-powered safety applications...