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 …

Aiming to improve the quality of taxi service and protect the interests in passengers,
anomalous trajectory detection attracts increasing attention. Most of the existing methods …

Without ground-truth data, trajectory anomaly detection is a hard work and the result lacks of
interpretability. Moreover, in most current methods, trajectories are represented by geometric …

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

Detecting anomalous trajectory has become an important and fundamental concern in many
real-world applications. However, most of the existing studies 1) cannot handle the …

Detecting anomalies from trajectory data is an important task in video surveillance. However,
it is difficult to give a precise definition of this term since trajectory data obtained from …

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 …

Researchers have proposed many novel methods to detect abnormal taxi trajectories.
However, most of the existing methods usually adopt a counting-based strategy, which may …

Aiming to promote the standardization of taxi services and protect the interests of
passengers, many methods have been proposed to detect taxi trajectory anomaly based on …

A passenger is overcharged by the taxi driver is one common type of fraudulent trip, and it
brings negative impacts to modern cities. Most existing fraudulent trip detection works rely …