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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhu, Meiling Liu, Chen Han, Yanbo |
| Abstract | A companion of moving objects is an object group that move together in a period of time. Platoon companions are a generalised companion pattern, which describes a group of objects that move together for time segments, each with some minimum consecutive duration of time. This study proposes a method that can instantly discover platoon companions from a special kind of streaming traffic data, called automatic number plate recognition data. Compared to related approaches, the authors transform the companion discovery into a frequent sequence mining problem. The authors propose a data structure, platoon tree (PTree), to record discovered platoon companions. To reduce the cost of tree traversal during mining platoon companions, they utilise the last two together-moving objects of a group to update PTree. Finally, a lot of experiments have been carried out to show the efficiency and effectiveness of the proposed approach. |
| Starting Page | 1351 |
| Ending Page | 1359 |
| Page Count | 9 |
| ISSN | 1751956X |
| Volume Number | 12 |
| e-ISSN | 17519578 |
| Issue Number | Issue 10, Dec (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/12/10 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5166 |
| Journal | IET Intelligent Transport Systems |
| Publisher Date | 2018-09-07 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Called Automatic Number Plate Recognition Data Companion Discovery Companion Pattern Data Handling Technique Data Mining Data Structure Data Structures Discovered Platoon Companions Frequent Sequence Mining Problem Generalised Companion Pattern Knowledge Engineering Technique Mathematics Mining Platoon Companions Object Group Platoon Tree Related Approach Time Segments Traffic Data Stream Traffic Engineering Computing Tree Data Structure Trees |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Transportation Environmental Science Mechanical Engineering |
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