Data & Knowledge Engineering
School of ITEE

Trajectory Computing

The prevalence  of GPS sensors and mobile devices has enabled tracking the movements of almost any kind of moving objects such as vehicles, humans and animals. As a result, in the past decade we have witnessed unprecedented increase of trajectory data both in volume and variety. With some attributes such as variable lengths, uncontrolled quality, high redundancy and uncertainty and so on, trajectory data challenge the traditional methodologies and practices in many research areas including data storage and indexing, data mining and analytics, information retrieve, etc. Trajectory computing has been attracting numerous research interest from both academia and industry due to its tremendous value and benefits in a variety of critical applications like traffic analysis, fleet management, trip planning, location-based recommendation, etc. As a leading research group in trajectory computing, we focus on a range of related topics from fundamental research problems like trajectory storage and index, trajectory quality and uncertainty management to the most frontier technologies like social trajectory computing and in-memory trajectory computing.