Clustering is an efficient way to group data into different classes on basis of the internal and
previously unknown schemes inherent of the data. With the development of the location …

Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

Computing trajectory similarity is a fundamental operation in movement analytics, required
in search, clustering, and classification of trajectories, for example. Yet the range of different …

Understanding spatio-temporal patterns of tourist movement behaviors is vital for
Destination Management Departments (DMDs) on destination planning, marketing, and …

Blind people are confronting a number of challenges in performing activities of daily life such
as reading labels on a product, identification of currency notes, exploring unknown spaces …

Human mobility is important for understanding the evolution of size and structure of urban
areas, the spatial distribution of facilities, and the provision of transportation services. Until …

Many important planning decisions in society and business depend on proper knowledge
and a correct understanding of movement, be it in transportation, logistics, biology, or the life …

Maritime traffic route is the basis for the analysis of ship traffic characteristics and navigation
safety. However, the spatial freedom of ship navigation makes the extraction of maritime …

Understanding human mobility is of great importance to various applications, such as urban
planning, traffic scheduling, and location prediction. While there has been fruitful research …

Despite two decades of research in moving object databases and a few research prototypes
that have been proposed, there is not yet a mainstream system targeted for industrial use. In …