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 …

The volume of spatio-temporal data is growing at a rapid pace due to advances in location-
aware devices, eg, smartphones, and the popularity of location-based services, eg …

移动互联技术的飞速发展催生了大量的移动对象轨迹数据. 这些数据刻画了个体和群体的时空
动态性, 蕴含着人类, 车辆, 动物的行为信息, 对交通导航, 城市规划, 车辆监控等应用具有重要的 …

With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …

Similar trajectory search is a fundamental problem and has been well studied over the past
two decades. However, the similar subtrajectory search (SimSub) problem, aiming to return …

In this paper, we study a new variant of trajectory similarity search from the context of
continuous query processing. Given a moving object from to, following a reference route, we …

In the era of big data, the movement of the same object or person can be recorded by
different devices with different measurement accuracies and sampling rates. Matching and …

The low map quality has been a persistent problem which is usually caused by the belated
map update. Although the recent research on map inference/update enables timely map …

Within the rapidly expanding Internet of Things (IoT), growing amounts of spatially
referenced data are being generated. Due to the dynamic, decentralized, and …

We introduce the R everse S patial Top-k K eyword (RSK) query, which is defined as: given
a query term q, an integer k and a neighborhood size find all the neighborhoods of that size …