NYMTC Executive Leadership Training Program for Transportation Professionals
The objective of this study is to develop a model that links the resource requirements for Capital Program delivery functions with the NYSDOT Capital Program.
NYC Embodied Carbon Baseline Study
The objective of this study is to develop a model that links the resource requirements for Capital Program delivery functions with the NYSDOT Capital Program.
Work Zone Safety Projects
Work Zone Safety Completed Research Projects Work Zone Safety: Virtual reality-based traffic co-simulation platform for workforce training and pedestrian behavior analysis PI: Semiha Ergan; Co-PIs: Kaan Ozbay View Project Increasing
Project Spotlight Series
Project Spotlight Series Highlighting notable research studies conducted by our diverse portfolio of urban mobility and smart cities experts NYC Subway Air Quality VR for Work Zones Mobile App for
Data-Driven Travel-Demand Management Through Integrated Parking and Ridesharing Cyber-Physical Systems
The objective of this study is to develop a model that links the resource requirements for Capital Program delivery functions with the NYSDOT Capital Program.
PERL Lab
PERL Lab Project Execution Risk Laboratory Vision Research Media People Urban infrastructure such as roadways, bridges, subways, terminals, ports, and public buildings are critical features of cities and beneficial to
Research Spotlight
Explore a handful of our most innovative initiatives Research in Action on the BQE MATSim Living Labs Manhattan Congestion Tracker Digital Twin Technologies
Student Learning Hub Archive
Spring 2025 Semester’s Courses Understanding Travel Demand through Passively-generated Mobile Data: a Python-based Mobility Analysis Workshop Instructors: Ekin Ugurel, UW Beginner level: No prior experience required. Schedule: Friday, March 7th,
NYU Summer Programs
NYU Summer Programs: ARISE & UGSRP Each summer, Tandon faculty welcome rising undergrads and high school students into their labs for a 10-week, hands-on research experience. Students work side by
Computer Vision
C2SMART’s innovative computer vision solutions leverage deep learning tailored to urban environments, enabling real-time object detection and tracking to improve mobility and safety for vehicles and vulnerable road users. By