Maritime transports play a critical role in international trade and commerce. Massive vessels
sailing around the world continuously generate vessel trajectory data that contain rich …

Dynamic time warping is one of the most important similarity measurement methods for time
series data mining. Owing to the different influence of various time points, an extension of …

This paper proposes a methodology for using mobile telephone-based sensor data for
detecting spatial and temporal differences in everyday activities in cities. Mobile telephone …

There is long-standing scientific interest in understanding purposeful movement by animals
and humans. Traditionally, collecting data on individual moving entities was difficult and time …

Time geography is a theory describing the necessary conditions for human spatial behavior.
It was developed by Professor Torsten Hägerstrand (1916–2004), a Swedish geographer …

The prevalence of ubiquitous location-aware devices and mobile Internet enables us to
collect massive individual-level trajectory dataset from users. Such trajectory big data bring …

Anomalous taxi trajectories are those chosen by a small number of drivers that are different
from the regular choices of other drivers. These anomalous driving trajectories provide us an …

Time geography is a constraints-oriented approach to understanding human activities in
space and time. Time geography recognizes that humans have fundamental spatial and …

With the increasing use of mobile GPS (global positioning system) devices, a large volume
of trajectory data on users can be produced. In most existing work, trajectories are usually …

Spatial clustering can be used to discover hotspots in trajectory data. A trajectory clustering
approach based on decision graph and data field is proposed as an effective method to …