COVID-19 and Transportation: C2SMART’s Transporation Data Dashboard
C2SMART Integrating data sources from multiple agencies and industries, C2SMART researchers have developed a publicly accessible data dashboard that displays in real-time transportation trends such as subway ridership, bus speeds, freight activity, bike usage and, using computer image processing and publicly available NYCDOT traffic cam footage, pedestrian density and social distancing practices. Dr. Jingqin Gao reviewed the origins of the dashboard, delivered a tutorial, and reviewed the state of New York City transportation in the months after the COVID-19 pandemic.
Jingqin (Jannie) Gao completed her Ph.D. in Transportation Planning and Engineering at NYU Tandon, where she works with C2SMART Director Kaan Ozbay. She studied Science and Technology of Optical Information and received her B.S. from Tongji University in China and her M.S in Transportation Planning and Engineering from New York University. Her research interests lie in offline and real-time simulation modeling, big data and machine learning approach for transportation, and transportation economics. She also worked for the New York City Department of Transportation on modeling and data analysis to support the agency’s internal planning, technical review processes and coordinated with external agencies on regional projects since 2012. Jingqin is the former president of NYU’s joint Institute of Transportation Engineers (ITE) and The Intelligent Transportation Society of America (ITS) Student Chapter during 2018-2019, through which she organized various company visits, tech talks, women in transportation events and the 2019 ITE Northeastern District Traffic Bowl.
Yubin Shen is an Assistant Research Engineer at C2SMART Center. He received his M.S. in Computer Science from Stevens Institute of Technology (2015). Previously he worked for MTA New York City Transit. He provides technical support for the center and also cooperates in the research projects at the center. His research interests include database optimization, web data crawling, and embedded systems.
