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 …

Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …

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 …

The Internet of Things (IoT) has become widespread around the world. Since a large
number of diverse devices, such as vehicles, household electrical appliances, smart …

In this paper, we study the problem of large-scale trajectory data clustering, k-paths, which
aims to efficiently identify k" representative" paths in a road network. Unlike traditional …

Big data have been used widely in many areas, including the transportation industry. Using
various data sources, traffic states can be well estimated and further predicted to improve the …

The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Range aggregation is a primitive operation in spatial data applications and there is a
growing demand to support such operations over a data federation, where the entire spatial …

Smart grids are re-engineering the electricity transmission and distribution system
throughout the world. It is an amalgam of increased digital information with the electrical …

With the development of positioning technology, a large number of trajectories have been
generated, which are very useful for many urban applications. However, it is challenging to …