Title | ||
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Real-time discovery of hot routes on trajectory data streams using interactive visualization based on GPU. |
Abstract | ||
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•Our approach captures and keeps track of how the hot routes evolve in an incremental manner.•The hot routes discovered is more consistent with real traffic dynamics.•Our approach is suitable for monitoring citywide traffic with a large volume of traffic from high-sampling-rate data streams in real time.•Our method scales linearly with the size of the dataset. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.cag.2018.09.008 | Computers & Graphics |
Keywords | Field | DocType |
Hot routes,Data stream,Visualization,GPU | Computer vision,Discretization,Data stream mining,Computer science,Visual analytics,Real-time computing,Interactive visualization,Artificial intelligence,Traffic dynamics,Trajectory | Journal |
Volume | ISSN | Citations |
76 | 0097-8493 | 1 |
PageRank | References | Authors |
0.41 | 34 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
George A. M. Gomes | 1 | 1 | 0.41 |
Emanuele Santos | 2 | 939 | 52.64 |
Creto Augusto Vidal | 3 | 44 | 22.51 |
ticiana | 4 | 32 | 14.96 |
José Antônio Fernandes de Macêdo | 5 | 465 | 51.40 |