Abstract | ||
---|---|---|
Traces of moving objects in a city, which depict lots of semantics concerning human mobility and city dynamics, are becoming increasingly important. In this article, we first give a brief introduction to trace data; then we present six research issues in trace analysis and mining, and survey the state-of-the-art methods; finally, five promising application domains in smart cities are discussed. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/MCOM.2013.6525604 | IEEE Communications Magazine |
Keywords | Field | DocType |
smart city,human mobility,moving objects,city dynamics,town and country planning,trace analysis,data mining,mobile computing,global positioning system,urban planning,smart buildings,semantics | Data science,Mobile computing,Data mining,Trace analysis,Computer science,Town and country planning,Urban planning,Building automation,Global Positioning System,Semantics,Distributed computing | Journal |
Volume | Issue | ISSN |
51 | 6 | 0163-6804 |
Citations | PageRank | References |
50 | 1.75 | 9 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gang Pan | 1 | 1501 | 123.57 |
Guande Qi | 2 | 418 | 19.45 |
Wangsheng Zhang | 3 | 205 | 8.85 |
Shijian Li | 4 | 1155 | 69.34 |
Zhaohui Wu | 5 | 3121 | 246.32 |
Laurence T. Yang | 6 | 6870 | 682.61 |