Indexing Large Trajectory Data Sets With SETI
V. Prasad Chakka, Adam Everspaugh, Jignesh M. Patel · 2003
With the rapid increase in the use of inexpensive, location-aware sensors in a variety of new applications, large amounts of time-sequenced location data will soon be accumulated. Efficient indexing techniques for managing these large volumes of trajectory data sets are urgently needed. The key requirements for a good trajectory indexing technique is that it must support both searches and inserts efficiently.