big data
The work on analyzing traffic impacts under arterial road closures using machine learning techniques on traffic flow data was published online on Journal of Transportation Engineering by American Society of Civil Engineers (ASCE). “An unsupervised learning approach for analyzing traffic
We have now entered an era with a new digital revolution, namely, the Internet of Things (IoT). The digital revolution marks the starting of information age. We use the Internet nearly every day. The Internet has turned out to be
Time series data analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series analysis can be widely applied in urban informatics. Using detrending techniques on time series data, short-term disruptions can
During January 11-14, we presented our work on understanding and improving urban mobility at the Transportation Research Board (TRB) 94th Annual Meeting in the Walter E. Washington Convention Center, Washington, DC. An empirical study of combining participatory and physical sensing to
On Aug 11-12, we attended Workshop on Big Data and Urban Informatics, with support from the National Science Foundation, held at the University of Illinois at Chicago (UIC). “The workshop brought together researchers from diverse disciplines motivated by sustainability and
