Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Social media data with geotags can be used to track people's movements in their daily lives.
By providing both rich text and movement information, visual analysis on social media data …

In this paper, we present a visual analysis system to explore sparse traffic trajectory data
recorded by transportation cells. Such data contains the movements of nearly all moving …

Movement of an entity is greatly affected by its internal and external contexts. Such
consequential influence has created new paradigms for context‐aware movement data …

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 …

Mobility diaries of a large number of people are needed for assessing transportation
infrastructure and spatial development planning. Acquisition of personal mobility diaries …

Transportation systems in mega-cities are often affected by various kinds of events such as
natural disasters, accidents, and public gatherings. Highly dense and complicated networks …

Visual querying is essential for interactively exploring massive trajectory data. However, the
data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On …

An estimate is provided for how long a guest will have to wait to enter a ride, restaurant,
restroom, or other point of interest at a venue. Wait times are computed using one or more …