Characterizing human driver's driving behaviors from global positioning system (GPS)
trajectories is an important yet challenging trajectory mining task. Previous works heavily …

The scarcity of publicly available cellular association traces hinders user location-based
research and various data-driven services, highlighting the importance of data synthesis in …

Nowadays, the explosive growth of personalized web applications and the rapid
development of artificial intelligence technology have flourished the recent research on …

Accurate prediction of citywide crowd activity levels (CALs), ie, the numbers of participants of
citywide crowd activities under different venue categories at certain time and locations, is …

Retrieving similar trajectories aims to search for the trajectories that are close to a query
trajectory in spatio-temporal domain from a large trajectory dataset. This is critical for a …

Location-based Behavioral Analytics (LBA) holds a great potential for improving the services
available in smart cities. Naively implemented, such an approach would track the …

Ubiquitous mobile devices are generating vast amounts of location-based service data that
reveal how individuals navigate and utilize urban spaces in detail. In this study, we utilize …

This study introduces the novel problem of Real Location Restoration, aimed at
reconstructing accurate user trajectories from the coarse-grained mobile signaling data. To …