Name
Abstract | ||
|---|---|---|
Indexing moving objects has been extensively studied in the past decades. In most real world applications, the moving objects exhibit particular patterns on their velocities. For example, velocities of vehicles in city road networks usually show patterns on both directions and values. Velocity-based partitioning techniques have been proved effective in improving query performances of moving object indexes. This demo presents VPIndexer, a toolkit for visualizing comparison of three velocity-based partitioning algorithms: VMBR-based partitioning, DVA-based partitioning and our recently proposed speed-based partitioning techniques. VPIndexer uses the Bx-tree and the TPR*-tree as the baseline approaches. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2820783.2820786 | SIGSPATIAL/GIS |
Keywords | Field | DocType |
Moving object indexing, velocity-based partitioning | Data mining,Road networks,Computer science,Search engine indexing | Conference |
Citations | PageRank | References |
1 | 0.35 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofeng Xu | 1 | 425 | 37.75 |
| Li Xiong | 2 | 2335 | 142.42 |
| Vaidy S. Sunderam | 3 | 998 | 162.45 |
| Jinfei Liu | 4 | 91 | 11.12 |
| Jun Luo | 5 | 222 | 26.61 |