Trajectories obtained from GPS-enabled devices give us great opportunities to mine out
hidden knowledge about the urban mobility, traffic dynamics and human behaviors. In this …

With the rapid proliferation of the GPS-equipped devices, a myriad of trajectory data
representing the mobility of the various moving objects in two-dimensional space have been …

The improvement in mobile computing techniques has generated massive trajectory data,
which represent the mobility of moving objects like vehicles, animals, and people. Mining …

This paper explores, reviews, and evaluates the existing outlier trajectory detection using
small, large and big databases. We divide existing solutions into two main categories …

Detecting abnormal trajectories is an important task in research and industrial applications,
which has attracted considerable attention in recent decades. This work studies the existing …

Outlier detection has been a popular data mining task. However, there is a lack of serious
study on outlier detection for trajectory data. Even worse, an existing trajectory outlier …

With the development of global position system (GPS), wireless technology and location
aware services, it is possible to collect a large quantity of trajectory data. In the field of data …

With the rapid proliferation of GPS-equipped devices, a myriad of trajectory data
representing the mobility of various moving objects in two-dimensional space have been …

Abnormal-trajectory detection can be used to detect fraudulent behavior by taxi drivers when
carrying passengers. Existing methods usually detect abnormal trajectories based on the …

With a huge volume of trajectories being collected and stored in databases, more and more
researchers try to discover outlying trajectories from trajectory databases. In this article, we …