New Opportunities in Urban Safety Analytics Using Big Data
报告人：Dr Kun Xie
Traffic safety issues of urban areas are gaining increasing attention with the pace of urbanization. The complexity and uniqueness of urban transportation systems make it essential to leverage emerging datasets to obtain innovative solutions to safety issues. In the era of big data, a massive amount of data has been digitized and available at a larger scale. Meanwhile, emerging data sources such as GPS-equipped taxies, traffic cameras, social media and connected vehicles can be leveraged to extract extremely detailed information for decision-makings. This talk will discuss new opportunities in urban safety analytics with the advances in quantitative methods and large-scale datasets.
Dr. Xie is currently a Lecturer in the Department of Civil and Natural Resources Engineering at University of Canterbury and a Visiting Research Scientist at New York University. Dr. Xie is passionate about exploring innovative solutions to transportation issues using data-driven methods and emerging technologies. He has published over 40 refereed papers in scholarly journals and conference proceedings and received the prestigious IEEE ITSS Best Dissertation Award, CUTC Milton Pikarsky Award and Transportation Research Board (TRB) Best Paper Award for his research. Dr. Xie has participated in multiple interdisciplinary research projects funded by various sponsors such as United State Department of Transportation (USDOT), National Science Foundation (NSF) and American International Group (AIG), and actively engaged in proposal development and project management.