Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

The proliferation of trajectory data in various application domains has inspired tremendous
research efforts to analyze large-scale trajectory data from a variety of aspects. A …

Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Trajectory similarity computation is an essential operation in many applications of spatial
data analysis. In this paper, we study the problem of trajectory similarity computation over …

Trajectory similarity computation is a fundamental problem for various applications in
trajectory data analysis. However, the high computation cost of existing trajectory similarity …

Spatial keyword search has been playing an indispensable role in personalized route
recommendation and geo-textual information retrieval. In this light, we conduct a survey on …

The matching of similar pairs of objects, called similarity join, is fundamental functionality in
data management. We consider two cases of trajectory similarity joins (TS-Joins), including …

Deep learning based trajectory similarity computation holds the potential for improved
efficiency and adaptability over traditional similarity computation. However, existing learning …

Large-scale trajectory dataset is always required for self-driving and many other
applications. In this paper, we focus on the trajectory generation problem, which aims to …

The computation of trajectory similarity is a crucial task in many spatial data analysis
applications. However, existing methods have been designed primarily for trajectories in …