Name
Abstract | ||
|---|---|---|
The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leading to the collection of large spatio-temporal datasets and to the opportunity of discovering usable knowledge about movement behaviour, which fosters novel applications and services. In this paper, we apply a trajectory pattern extraction framework, called T-Pattern, to a real-world dataset, describing mobility of citizens within an urban area. The mining tool adopted is able to provide useful insights both in terms of common movements followed in the city, and, as by-product of the mining engine, in terms of spatial distribution and temporal evolution of the traffic density. Both kinds of results are provided in the paper in a visual form, aimed at helping the analyst to better interpret them and link them to his/her existing background knowledge of the domain. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1645373.1645381 | GIS-IWCTS |
Keywords | Field | DocType |
mining tool,trajectory pattern analysis,existing background knowledge,gsm network,urban traffic,movement behaviour,location-acquisition technology,novel application,common movement,mining engine,usable knowledge,large spatio-temporal datasets,pattern analysis | USable,Data mining,GSM,Traffic signal,Pattern analysis,Global Positioning System,Geography,Urban area,Trajectory | Conference |
Citations | PageRank | References |
10 | 0.85 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fosca Giannotti | 1 | 2948 | 253.39 |
| Mirco Nanni | 2 | 1412 | 84.47 |
| Dino Pedreschi | 3 | 3083 | 244.47 |
| Fabio Pinelli | 4 | 972 | 50.96 |