We are excited to announce the research projects NEUTC has selected to move forward with in Year 3. These projects represent innovative, high-impact work aimed at advancing transportation safety and addressing critical challenges across the field. Thank you to everyone who submitted proposals. We appreciate the time, creativity, and dedication shown throughout this competitive process and are grateful for your continued engagement with NEUTC’s mission.
University of Massachusetts:
Improving Teen Driver Safety, Evaluating Educational Interventions to Reduce Overreliance on Advanced Driver Assistance Systems
PI: Dr. Isabelle Coppa Wandenkolk, Dr. Shannon Roberts, Dr. Niloufar Shirani
Deskilling or Redefining? Drivers’ Hazard Anticipation with Automation
PI: Dr. Anuj Pradhan
Leveraging AI for Risk‑Informed Culvert Infrastructure Decision‑Making
PI: Dr. Jessica Boakye, Dr. Sadegh Asgari
Crash Analysis at Intersections with Transit Signal Priority
PI: Dr. Eleni Christofa, Dr. Michael Knodler, Dr. Francis Tainter
Development of a Network-Level Data-Driven High Friction Surface Treatment Location Selection Approach Leveraging Remote Sensing Technologies
PI: Dr. Chengbo Ai, Dr. Simos Gerasimidis
Intervention Strategies to Enhance Motorcoach Seatbelt Use
PI: Dr. Michael Plotnikov
Investigating Transit Characteristics and Road Safety Outcomes
PI: Dr. Jimi Oke
Measuring and Modeling Safety & Congestion Impacts of Double Parking
PI: Dr. Eric Gonzales
Obtaining Reliable Pavement Friction Measurements Using Connected Vehicles
PI: Dr. Egemen Okte, Dr. Walaa Mogawer
AI-Enhanced LiDAR Tools for Smart Bridge Clearance Assessment and Obstacle Detection
PI: Dr. Simos Gerasimidis
Ride-Sourcing Demand and Supply Estimation Based on Coarse Public Data (Phase II)
PI: Dr. Song Gao
University of Connecticut:
STEER AV - Safety Tuned Emulation of Emerging Responses for Autonomous Vehicles
PI: Dr. Monika Filipovska
AI-Powered Conflict Detection and Signal Optimization for Right Turn FYAs in Mixed Modal Intersections
PI: Dr. Shan Zuo
Explaining Visual Attention for Autonomous Vehicle Controllers
PI: Dr. Jinbo Bi
Improving Teen Driver Safety, Evaluating Educational Interventions to Reduce Overreliance on Advanced Driver Assistance Systems
PI: Dr. Isabelle Coppa Wandenkolk, Dr. Shannon Roberts, Dr. Niloufar Shirani
Promoting Automated Vehicle Safety Using Multimodal Data and Large Language Models
PI: Dr. Wei Zhang
Spatio Temporal Graph Learning for Real-Time Pedestrian Exposure Estimation
PI: Dr. Fatemah Fakhrmoosavi
Synthesizing Microtransit and Fixed-Route Transit via Rider Hand Off to Improve Transit Efficiency
PI: Dr. Young Joun Ha
Using Linked Data to Explore the Accuracy of Crash-Reported Injuries of Minors
PI: Marisa Auguste
Norwich University:
Assessing Healthcare Transportation Access in a Rural Vermont Community
PI: Dr. Moses Tefe
Obstacles to the Widespread Implementation of Autonomous Vehicles in Vermont
PI: Dr. Michael Cross
Mobility and Safety Needs Assessment. A Case Study of Northfield, VT (Phase II)
PI: Dr. William Lyons, Dr. Moses Tefe
University of New Hampshire:
Sensor Networks for Vulnerable Road User Safety (Phase III)
PI: Dr. Nicholas Kirsch