Using AI to Build Safer, Smarter Transportation Systems

On February 24, 2022, the U.S. Department of Transportation (USDOT) hosted a video forum featurin the latest innovative research in artificial intelligence (AI) in transportation from University Transportation Centers (UTCs) across the country. The webinar featured the research of 11 UTCs, including C2SMART, showcasing their USDOT-funded AI research and its potential impact on society.

Srushti Rath

Srushti Rath Research Assistant, C2SMART Srushti Rath is a Ph.D. candidate at New York University (NYU) Tandon School of Engineering and a research assistant at the C2SMART Tier 1 University

Lamia Iftekhar

Lamia Iftekhar Visiting Scholar Lamia Iftekhar is an Associate Professor at the Department of Electrical and Computer Engineering, North South University (NSU), Dhaka, Bangladesh, where she has been serving since September

Bekir Bartin

Bekir Bartin Associate Professor, Özyeğin University Dr. Bekir O. Bartin is a full time associate professor at Özyeğin University. Prior to his current position he was the founding chair at Civil Engineering

Jingqin Gao

Jingqin Gao Assistant Director of Research, New York University Dr. Jingqin Gao is a dedicated professional with over 10 years of experience in transportation planning and engineering. She has served

The Pink Tax on Mobility: Opportunities for Innovation

The Pink Tax is a form of gender-based price discrimination concerning the upcharge women pay for specific products or services. This white paper is based on the conviction that innovations to increase personal safety and improve accessibility for caregivers will provide greater access to education and jobs, deliver health benefits from more active transportation, and support women’s confidence and well-being in trip planning—while greatly reducing carbon emissions.

Student Learning Hub Announces Spring 2022 Course List

Registration for upcoming classes has opened. The Student Learning Hub offered courses on blockchain, cybersecurity, computer vision, Python, ArcGIS, and research applications for virtual reality. Looking ahead, our goal is to expand our breadth of topics to become more multidisciplinary, and to open teaching opportunities beyond C2SMART to our other university partners to help supply a fast-growing workforce with research- and job-ready skills.

Using MATSim-NYC to Optimize the Brooklyn Bus Network Redesign

Using MATSim-NYC, the BUILT Lab at C2SMART simulated a proposed network redesign to improve the level of service for the users as well as reduce the operating costs for the MTA. Bus network redesigns will impact travelers’ mode, route, and departure time choices, and the synthetic population in MATSim-NYC allows simulations to incorporate potential impacts on all of these to generate optimally designed transit routes.

C2SMART-NYCDOT Connected Vehicle Research Breaks New Ground To Improve Mobility and Ensure Accessibility For Pedestrians with Vision Disabilities in NYC

As part of USDOT’s Connected Vehicle Project, C2SMART researchers at New York University – in collaboration with NYCDOT and industry partners JHK and Harman – recruited volunteer participants with vision disabilities via local and national organizations to help conduct field tests of a phone application, PED-SIG, which could improve mobility of pedestrians with vision disabilities to navigate safely and independently through New York City.