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 …

Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …

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

Trajectory analytics can benefit many real-world applications, eg, frequent trajectory based
navigation systems, road planning, car pooling, and transportation optimizations. Existing …

Mobile and sensing devices have already become ubiquitous. They have made tracking
moving objects an easy task. As a result, mobile applications like Uber and many IoT …

Modern location-based systems have stimulated explosive growth of urban trajectory data
and promoted many real-world applications, eg, trajectory prediction. However, heavy big …

The ubiquitousness of GPS sensors in smart-phones, vehicles and wearable devices has
enabled the collection of massive volumes of trajectory data from tracing moving objects …

Trajectory-based applications have acquired significant attention over the past decade with
the rising size of trajectory data generated by users. However, building trajectory-based …

With the explosive ubiquity of GPS-equipped devices, eg, mobile phones, vehicles, and
vessels, a massive amount of real-time, unbounded, and varying-sampling trajectory …

Long-term location tracking, where trajectory compression is commonly used, has gained
high interest for many applications in transport, ecology, and wearable computing. However …