| 基于GIS的道路事故黑点聚类应用研究 |
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| 引用本文： | 曹阳,陈天滋,柴勇.基于GIS的道路事故黑点聚类应用研究[J].微计算机信息,2006,22(31):253-255. |
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| 作者姓名： | 曹阳 陈天滋 柴勇 |
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| 作者单位： | 212013,江苏镇江市江苏大学计算机与通讯工程学院 |
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| 摘 要： | 由于地理信息系统中数据的多样性和空间复杂性,在GIS数据空间挖掘时原有的挖掘算法会遇到一些新问题。本文针对城市道路网中交通事故黑点发掘问题,对基于密度的DBSCAN算法进行改进,使改进后的算法能够确保聚类仅在连通空间内进行。最后以某市交通事故数据为例对该方法进行验证,实验结果表明此方法是有效的。
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| 关 键 词： | 空间聚类 道路事故黑点 DBSCAN算法 连通空间 |
| 文章编号： | 1008-0570(2006)11-1-0253-03 |
| 修稿时间： | 2006年3月12日 |
Study on application of clustering in Highway accident spot based on GIS |
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| Cao,Yang,Chen,Tianzi,Chai,Yong.Study on application of clustering in Highway accident spot based on GIS[J].Control & Automation,2006,22(31):253-255. |
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| Authors: | Cao Yang Chen Tianzi Chai Yong |
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| Abstract: | Because of the variety of the data and the complexity of space in geographic information system, there are some new prob- lems appearing in the present mining algorithms. In this paper targeting on the digging in traffic accident spot of road net, we im- proved Density- Based DBSCAN algorithm to make sure that process of clustering can be made in connected space. Finally, an experi- ment is conducted basing on traffic accidents data of a city and the experimental result showing our method is practical and effective. |
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| Keywords: | Spatial cluster Highway accident blackspot DBSCAN algorithm Connected Space |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
