Title | ||
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Using GPS trajectories to create a dynamic network of significant locations as an abstraction of road maps |
Abstract | ||
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This contribution discusses an approach on finding significant locations from a set of GPS tracks, called Hotspots in this contribution. Based on that, a model where traffic infrastructure is represented by a dynamic network of Hotspots is suggested. Besides the location of Hotspots, information about travel times between these Hotspot-Nodes also comes along with the extracted significant places. This information can be used to improve or enrich traffic management and/or navigation systems by consequently achieving a more precise estimation of travel times compared to current systems. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-27549-4_21 | EUROCAST (1) |
Keywords | Field | DocType |
dynamic network,precise estimation,gps trajectory,navigation system,travel time,traffic management,current system,road map,significant location,traffic infrastructure,significant place,data mining,machine learning | Dynamic network analysis,Data mining,Abstraction,Hotspot (geology),Computer science,Global Positioning System | Conference |
Volume | ISSN | Citations |
6927 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Reinhard Stumptner | 1 | 9 | 4.56 |
Bernhard Freudenthaler | 2 | 15 | 8.75 |
Jürgen Hönigl | 3 | 0 | 1.01 |
Karl Rehrl | 4 | 83 | 13.07 |
Josef Küng | 5 | 523 | 59.90 |