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 …

Given a large number of taxi trajectories, we would like to find interesting and unexpected
patterns from the data. How can we summarize the major trends, and how can we spot …

Predicting the future trajectories of surrounding vehicles based on their history trajectories is
a critical task in autonomous driving. However, when small crafted perturbations are …

The vehicle-to-infrastructure (V2I) communications enable a wide range of new applications,
which bring prominent benefits to the transportation system. However, malicious attackers …

This paper proposes a novel application of Visual Assessment of Tendency (VAT)-based
hierarchical clustering algorithms (VAT, iVAT, and clusiVAT) for trajectory analysis. We …

Several works have been proposed for both collective and individual trajectory behavior
discovery, as flocks, outliers, avoidance, chasing, etc. In this paper we are especially …

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

Local anomaly detection refers to detecting small anomalies or outliers that exist in some
subsegments of events or behaviors. Such local anomalies are easily overlooked by most of …

As a well‐known field of big data applications, smart city takes advantage of massive data
analysis to achieve efficient management and sustainable development in the current …

Classifying time series data using neural networks is a challenging problem when the length
of the data varies. Video object trajectories, which are key to many of the visual surveillance …