… ID analysis tasks. Thus, TNV preserves context by presenting a big picture view of … data
linked to other visual and textual views of the data. This allows analysts to explore network traffic …

… we propose a visual big data analytics framework based solution for automatic detection of
bike-riders without helmet in real time from traffic surveillance camera network of a smart city. …

… traffic. To facilitate this, we investigate how to increase the understanding and aid the analysis
of flow dynamics using an interactive visual … , based on time-varying data that is tied to a …

… Our objective is to show how visual analysis can foster deep insight in the large data sets
describing IP network activity. The difficult task of detecting various kinds of system vul…

… , a web-based visual traffic analysis system, that allows users to explore the traffic flow and
… • We develop a visual assistant system to perform visual traffic data cleaning and filtering. …

… Alongside visual analytics, there is a rich literature on statistical and algorithmic … and traffic
studies based on big mobility data. The most commonly used technique is Floating Car Data …

… of trajectory data to improve traffic analysis we develop an interactive visual analytics
system… and analyzing complex traffic situations in big cities via taxi trajectory data for Regions, …

… traffic flows in/out of the transport hubs. The contribution of this work is three fold: (1) we propose
a visual analysis workflow incorporating data … semantic patterns in the traffic flows in/out …

… visual integration of traffic analysis and social media analysis using two forms of big data:
smart card data … As the first step to this goal, this paper proposes a novel visual fusion analysis …

… traffic management and operations. The primary contributions of this study to both retrospective
analysis and real-time traffic … , social media data were used to extract traffic data. Natural …