Trajectory data is valuable for various applications, especially for intelligent transportation
systems, which hunger for plenty of trajectories. However, publishing trajectory data while …

Trajectory data in participatory sensing is of great importance to the deployment and
advancement of several applications, like traffic monitoring, marketing analysis, and urban …

Recent emerging mobile and wearable technologies make it easy to collect personal
spatiotemporal data such as activity trajectories in daily life. Publishing real-time statistics …

With the development of smart city, more organizations analyze people's trajectory data, so
as to provide better location-based services. However, publishing the original trajectory data …

Trajectory analysis holds many promises, from improvements in traffic management to
routing advice or infrastructure development. However, learning users' paths is extremely …

We describe a new generative algorithm called trajectory generative mechanism (TGM) for
publishing trajectory datasets with ε-differential privacy guarantee, which achieves …

The universal popularity of GPS-enabled mobile devices and traffic navigation services has
fueled the growth of trajectory data, as evidenced by Uber Movement and NYC taxi data …

With the proliferation of location-aware devices, trajectory data have been used widely in
real-life applications. However, trajectory data are often associated with sensitive labels …

It is now possible to collect and share trajectory data for any ship in the world by various
means such as satellite and VHF systems. However, the publication of such data also …

The existing location-based services have collected a large amount of user trajectory data,
and if these data are directly released without any processing, the user's personal privacy …