R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Novel Approaches in Query Processing for Moving Object Trajectories
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
SEB-tree: An Approach to Index Continuously Moving Objects
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
A trajectory splitting model for efficient spatio-temporal indexing
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Virtual trip lines for distributed privacy-preserving traffic monitoring
Proceedings of the 6th international conference on Mobile systems, applications, and services
A visual analytics system for metropolitan transportation
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
| Hi-index | 0.00 |
The proliferation of GPS devices has led to a substantial interest in location based services. In particular, modern vehicles can generate an incredible amount of drive data. However, current storage systems are not optimized for storing and querying such large spatial-temporal data sets. In this demonstration, we show the performance of the TrajStore system, a dynamic storage system optimized for quickly accessing data in a particular spatial-temporal region. In particular, TrajStore uses a novel adaptive indexing technique that dynamically adjusts itself to co-locate spatially close trajectories on disk, as well as a number of compression techniques in the storage layer that significantly reduce access time for a given index cell. In this demonstration, we will store a set of real world taxi cab drive traces in TrajStore, and users will be able to query the data through a map based interface.