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 …

Logistic companies rely on heavily Vehicle Tracking Systems (VTS) to provide instant and
valuable data about the vehicle's condition, the cargoes' statuses, and the trips. The 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 …

As the development of location based service, such as GPS and RFID, a great volume of
trajectory data can be collected. As a result, mining knowledge from these data has become …

Taxies equipped with GPS devices are considered as 24-hour moving sensors widely
distributed in urban road networks. Plenty of accurate and realtime trajectories of taxi are …

The task of trajectory outlier detection is to discover trajectories or their segments which
differ substantially from or are inconsistent with the remaining set. In this paper, we make an …

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 …

Existing data-driven methods for traffic anomaly detection are modeled on taxi trajectory
datasets. The concern is that the data may contain much inaccuracy about the actual traffic …

Traditional trajectory anomaly detection aims to find abnormal trajectory points or sequences
using data mining techniques. As a comparison, we focus on the evaluation of the …

GPS-equipped taxis can be considered as pervasive sensors and the large-scale digital
traces produced allow us to reveal many hidden facts about the city dynamics and human …