Trajectory outlier detection is one of the fundamental data mining techniques used to
analyze the trajectory data of the Global Positioning System. A comprehensive literature …

In this paper, we study anomalous trajectory detection, which aims to extract abnormal
movements of vehicles on the roads. This important problem, which facilitates understanding …

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 …

Anomaly detection is an important issue in trajectory data mining. Various approaches have
been proposed to address this issue. However, most previous studies focus only on outlier …

Vehicle trajectory anomaly detection plays an essential role in the fields of traffic video
surveillance, autonomous driving navigation, and taxi fraud detection. Deep generative …

Nowadays, massive data has been brought by the rapid development of technology. When
finding whether trajectory to be detected is abnormal under the premise of given normal …

This article introduces a new model to identify a group of trajectory outliers from a large
trajectory database and proposes several algorithms. These can be split into three …

Streaming data are present all around us. From traditional radio systems streaming audio to
today's connected end-user devices constantly sending information or accessing services …

Big trajectory data feature analysis for mobile networks is a popular big data analysis task.
Due to the large coverage and complexity of the mobile networks, it is difficult to define and …

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 …