Learning more about people mobility is an important task for official decision makers and
urban planners. Mobility data sets characterize the variation of the presence of people in …

Studying human movement citywide is important for understanding mobility and
transportation patterns. Rather than investigating the trajectories of individuals, we employ …

Origin-destination (OD) movement data describe moves or trips between spatial locations by
specifying the origins, destinations, start, and end times, but not the routes travelled. For …

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 transportation studies, one fundamental problem is to analyze the departures and arrivals
at locations in order to predict the travel demands for urban planning and traffic …

Public transportation systems (PTSs) play an important role in modern cities, providing
shared/massive transportation services that are essential for the general public. However …

Massive amount of movement data, such as daily trips made by millions of passengers in a
city, are widely available nowadays. They are a highly valuable means not only for unveiling …

Clustering of trajectories of moving objects by similarity is an important technique in
movement analysis. Existing distance functions assess the similarity between trajectories …

This paper presents a new approach to flow mapping that extracts inherent patterns from
massive geographic mobility data and constructs effective visual representations of the data …

Visualization of the trajectories of moving objects leads to dense and cluttered images,
which hinders exploration and understanding. It also hinders adding additional visual …