Public Traffic Cams and Computer Vision to Analyze Social Distancing Trends

To investigate crowd density and the effectiveness of social distancing strategies, C2SMART researchers introduced a low-cost, AI-driven big data acquisition framework leveraging hundreds of public traffic cameras along with a deep learning-based video processing method. Object detection and distance approximation between pedestrian pairs were applied to traffic camera videos at multiple NYC and Seattle locations to analyze local social distancing patterns. In this webinar, Doctoral candidate Fan Zuo, Postdoctoral Associate Jingqin “Jannie” Gao, and Research Engineer Yubin Shen reviewed the development, methodology, and applications to COVID-19 and beyond.

Jingqin GaoJingqin (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 ShenYubin 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 system.

Fan Zuo is a researcher at C2SMART, whose interests include Human Behavior and Learning/Cognitive Models A.I. Simulation Connected-Autonomous Vehicles Simulation and Performance Evaluation Open-source Microscopic Simulation Development and Calibration (SUMO) Transportation Data Mining Natural Language Processing

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