Name
Abstract | ||
|---|---|---|
Due to fast development of technology and enhanced global connection, the number of vehicle running on the road in China increases with an amazing speed, while related illegal behavior appears and increases as well. One of them is copied vehicle license (CVL), in which the driver uses a fake license to avoid relevant punishment, to save annual tax and to commit crimes. To better maintain healthy traffic operation environment, a spatial distance based method is put forward in this paper to detect possible vehicles with CVL. With big data mining skill and parallel technology, the work can be done automatically by the computer with a good speed and accuracy. The results turn out to be clear and can be used directly by the police department, which improves the processing efficiency in this field. Both the government and public drivers benefit from this. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-16050-4_23 | Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering |
Keywords | Field | DocType |
Big data mining,Copied vehicle license,Spatial distance,Traffic operation | Big data mining,Computer security,Computer science,Commit,Real-time computing,Government,License | Conference |
Volume | ISSN | Citations |
142 | 1867-8211 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaofan Bi | 1 | 22 | 2.28 |
| Wei Yuan | 2 | 26 | 2.68 |
| Biying Yan | 3 | 20 | 2.39 |
| Pan Deng | 4 | 25 | 3.85 |
| Feng Chen | 5 | 142 | 11.08 |