Home
Transportation Research and Artificial Intelligence Lab
Welcome to the Transportation Research and Artificial Intelligence Lab (TRAIL) at the State University of New York Polytechnic Institute. Our research team is at the forefront of pioneering advancements in Smart Transportation, Transportation Sustainability and Equity, Traffic Operation, and Safety.
Researchers passionate about shaping the future of transportation are invited to collaborate with us. At TRAIL, we believe in the power of collaborative research and are open to partnerships that drive meaningful change. If you share our enthusiasm for exploring new horizons in transportation engineering, we encourage you to connect with us. Please reach out via email at karimpa@sunypoly.edu. Let's embark on a journey of transformative research together.
Recent News
01.18.2024. The latest article on Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows was published in the Journal of Intelligent Transportation Systems Technology, Planning, and Operations. A collaborative effort between Abolfazl Karimpour and the Center for Applied Transportation Sciences. More info here.
01.15.2024. Launch of the Transportation Research and Artificial Intelligence Lab (TRAIL) at SUNY Polytechnic Institute.
10.04.2023. Abolfazl's segment for the Academic Minute will be airing this week on Thursday, October 5th, on WAMC. Listen to this segment at this link.
08.21.2023. Abolfazl Karimpour will talk about Red-light Runners at Signalized Intersection at the 2023 Upstate NY - Annual Meeting on September 28-29, 2023, in Saratoga Springs, NY.
08.08.2023. The latest article on Eliminating the Impacts of traffic volume variation on Before and after studies: A Causal Inference Approach, published in the Journal of Intelligent Transportation Systems Technology, Planning, and Operations. A collaborative effort between Abolfazl Karimpour and the Center for Applied Transportation Sciences. More info here.
05.03.2023. The latest article on Modeling red-light running behavior using high-resolution event-based data: a finite mixture modeling approach published in the Journal of Intelligent Transportation Systems Technology, Planning, and Operations. A collaborative effort between Abolfazl Karimpour and the Center for Applied Transportation Sciences. More info here.
04.20.2023. The latest article on Severity analysis of red-light–running behavior at signalized intersections published in the Journal of Transportation Safety & Security. A collaborative effort between Abolfazl Karimpour and the Center for Applied Transportation Sciences. More info here.
04.05.2023. The latest article on A data-driven approach to estimating dockless electric scooter service areas published in the Journal of Transport Geography. A collaborative effort between Abolfazl Karimpour and the University of Louisville. More info here.
