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 …

With the advent of Global Positioning System (GPS) and extensive use of smartphones,
trajectory data for moving objects is available easily and at cheaper price. Moreover, the use …

Anomalous trajectory detection which plays an important role in taxi fraud detection and
trajectory data preprocessing is a crucial task in trajectory mining fields. Traditional …

Trajectory data is becoming more and more popular nowadays and extensive studies have
been conducted on trajectory data. One important research direction about trajectory data is …

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 …

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 …

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 …

The immense growth of Autonomous Vehicles (AVs) and networking technologies have
paved the way for advanced Intelligent Transportation Systems (ITS). AVs increase data …

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 …

Trajectories obtained from Global Position System (GPS)-enabled taxis grant us an
opportunity not only to extract meaningful statistics, dynamics, and behaviors about certain …