… In this paper we present a visual analytics approach for deriving spatio-temporal patterns
of collective human mobility from a vast mobile network traffic data set. More than 88 million …

… In Section 6, we present use cases that demonstrate the advanced capabilities of our visual
analytics dashboard focused on urban traffic monitoring on two real scenarios: the city of …

… data and with the help of statistical methods of analysis, to define the most important
characteristics of traffic systems that influence traffic … It allows presenting complex data in a visual …

… We apply our methods to historical incident and traffic data … by the data, and it is entirely
possible that traffic flow remains … traffic incident even if it did not result in congestion, our visual…

… centers, and social media data from Sapporo. We propose a geospatial visual analytics
environment for micro analysis of the relationships between different data sources by integrating …

… Targeting the two challenges, we distill two categories of design requirements for our visual
analytic approach from the aspects of data and performance during several design iterations …

… Visual data analysis works as an impressed tool when analyzing large quantity of data,
which suits the requirements of network traffic data [44, 46]. Patterns, data structures and …

… , and visualization system to traffic incident analysis. In this … data exploration and analysis
that can be used to help traffic … real-time traffic data for traffic incident analysis, the existing …

… Finally, since the visual representation of time with spatial data is an important challenge
for the field, we were interested in the existing approaches to represent space and time. We …

… The visualization consists of four steps namely: Raw data, processed data, visual … Traffic
Accidents (RTAs) data for visualization. It was concluded that the RTAs analysis and the data …