原文传递
Research of ETC Data Mining Based on Sequence Clustering Algorithm
| 题名： | Research of ETC Data Mining Based on Sequence Clustering Algorithm |
| 正文语种： | 中文 |
| 作者： | Qian Chao Tian Yuan Xu Hongke |
| 作者单位： | School of Electronic and ontrol Engineering, hang'an University,Xi'an 710064, hina |
| 关键词： | ETC tolling data data mining sequence clustering |
| 摘要： | ETC tolling data contains a vast amount of information, how to conduct data mining on the tolling data and improve management has been an urgent problem for expressway administration.In this paper, Data Warehouse using historical ETC raw data was constructed and its mining model was designed, a method that predict vehicle driving sequences based on Sequence Clustering Algorithm was proposed.Analysis shows that this method has good effect to the prediction of ETC vehicles' driving tendency,meanwhile it can be used to detect unusual driving sequences.Experimental result shows that it has high accuracy and can provide theoretical foundation and decision support for expressway administration to develop charge checking and improve ETC management level. |
| 会议日期： | 20131026 |
| 会议举办地点： | 北京 |
| 会议名称： | 第八届中国交通高层论坛 |
| 出版日期： | 2013-10-26 |
| 母体文献： | 第八届中国交通高层论坛论文集 |
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