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| collecting and managing network-matched trajectories of moving objects in databases | |
| Ding Zhiming; Deng Ke | |
| 2011 | |
| Conference Name | 22nd International Conference on Database and Expert Systems Applications, DEXA 2011 |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 270-279 |
| Conference Date | August 29, |
| Conference Place | Toulouse, France |
| Publish Place | Germany |
| ISSN | 3029743 |
| ISBN | 9783642230875 |
| Department | (1) Institute of Software, Chinese Academy of Sciences, South-Fourth-Street 4, Zhong-Guan-Cun, Beijing 100190, China; (2) School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia |
| English Abstract | To track network-matched trajectories of moving objects is important in a lot of applications such as trajectory-based traffic-flow analysis and trajectory data mining. However, current network-based location tracking methods for moving objects need digital maps installed at the moving object side, which is not realistic in a lot of circumstances. In this paper, we propose a new moving objects database framework, Euclidean-batch-sampling and Network-matched-trajectory based Moving Objects Database (EuNetMOD) model, to support network-matched trajectory tracking without digital maps installed at the moving object side. © 2011 Springer-Verlag Berlin Heidelberg. |
| Keyword | Data Flow Analysis Database Systems Expert Systems Surface Discharges |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14349 |
| Collection | 基础软件国家工程研究中心 |
| Recommended Citation GB/T 7714 | Ding Zhiming,Deng Ke. collecting and managing network-matched trajectories of moving objects in databases[C]. Germany,2011:270-279. |
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