Research
Research Showcase Spotlight
AASHTO Honors BRIIT Project Managers with Two High Value Research Awards
Two research projects managed through the New Jersey Department of Transportation’s Bureau of Research, Innovation, and Information Transfer (BRIIT) received 2026 High Value Research Awards from the American Association of State Highway and Transportation Officials (AASHTO) Research Advisory Committee (RAC).
Interview with 2025 NJDOT Research Showcase Poster Award Winner: Md Tufajjal Hossain
2025 NJDOT Research Showcase Poster Award Winner Md Tufajjal Hossain discusses how leveraging connected-vehicle telematics and machine learning can proactively identify high-risk roadway locations to prevent crashes before they occur.
Interview with 2024 Research Showcase “Outstanding University Student in Transportation Research Award” Winner
We had the opportunity to speak with Dr. Deep Patel, a former Ph.D. candidate and research fellow at Rowan University, who received the 2024 NJDOT Outstanding University Student Research Award. In this interview, Patel shares insights from his research journey, including his work on the Real-Time Traffic Signal Performance Measurement Study and the development and implementation of machine learning tools to predict high-risk intersections.
Research Spotlight: Innovative Pothole Repair Materials and Techniques
A recently completed NJDOT research study, Innovative Pothole Repair Materials and Techniques, tested several new techniques and materials that could improve the durability of roadways throughout New Jersey.
Interview with “Best Poster Award” Winner at 2023 Research Showcase: “Properties of Cementitious Materials with Reclaimed Cement”
We spoke with Alyssa Yvette Sunga, a graduate researcher at Rowan University who won the Best Student Poster Award at NJDOT’s 2023 Research Showcase. Her research, “Properties of Cementitious Materials with Reclaimed Cement,” evaluated the characteristics of cementitious materials mixed with varying percentages of reclaimed cement.
Testing Biometric Sensors for Use in Micromobility Safety
This Q&A article with Dr. Zhang, explores her recent research on feelings of safety for micromobility users. Her innovative research moves beyond traditional methods like post-travel surveys and uses biometric indicators to measure perceptions of safety.
Ultra High-Performance Concrete (UHPC) Applications in New Jersey – An Update
UHPC is recognized as an innovative new material that can be used to extend the life of bridges. In this article, NJDOT’s Jess Mendenhall and Samer Rabie provide an update on UHPC pilot projects of UHPC around the state.
Safety Behavior and Gender Split Differences in Micromobility: A Q&A Interview with Researcher
This Q&A article with Dr. Hannah Younes focuses on her most recent study conducted in Asbury Park, NJ, that observed gender differences of chosen micromobility mode, helmet usage, and location.
Research Underway to Address Travel Needs of Cognitively Divergent Individuals in Complete Streets Plans
The Complete Streets planning approach pushes for a future in which people of all ages and abilities can safely travel. Now, with New Jersey’s new Bill S147, this will intentionally include neurodivergent individuals!
Research Spotlight: NJ TRANSIT Grade Crossing Safety
A recently completed research study, NJ TRANSIT Grade Crossing Safety, focuses on identifying locations for rail grade crossing elimination.
Research Spotlight: Calibration and Development of Safety Performance Functions for New Jersey
Researchers from NYU and Rutgers calibrated the Safety Performance Functions (SPFs) provided in the
Highway Safety Manual using NJ data. The facility types considered for this research project include segments and intersections of rural two-lane two-way, rural multilane, and urban and suburban roads.
Research Spotlight: Exploring the Use of Artificial Intelligence to Improve Railroad Safety
Partnering with the FRA, New Jersey Transit and NJDOT, a research team at Rutgers University is using AI techniques to analyze rail crossing safety issues.