| 摘 要: 本文通过数据挖掘相关基础进行数据库搭建，选取2002—2016年数据进行OLAP分析，通过数据切片及 数据向下钻取，将二维数据转换成三维数据进行深度剖析，结果显示全国道路交通事故影响因素主要集中在机动车超速 行驶及逆向行驶中，其中驾驶人行为尤为突出。在Eviews软件中对数据进行预测分析发现道路交通事故存在非线性关 系，并且预测了未来三年的道路交通事故数量及伤亡数量，数据显示出道路交通事故呈逐年下降趋势。 |
| 关键词: 数据挖掘；联机分析处理；交通事故；预测分析 |
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中图分类号: TP319
文献标识码: A
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| 基金项目: 青海民族大学2017-2018年度本科教学研究项目项目编号：（2017-BKJXYB-08）. |
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| A Study on the Influencing Factors of Road Traffic Accidents Based on OLAP |
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HUI Baofeng,FENG Guilian,WANG Yongning
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( School of Physics and Electronic Information Engineering, Qinghai University for Nationalities, Xining 810007, China)
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| Abstract: The paper constructs the database by means of related data mining,and selects the data from 2002 to 2016 for OLAP analysis.Through data slicing and data drilling down,the two-dimensional data are converted into three-dimensional data for further analysis.The results show that the main influencing factors of domestic road traffic accidents are mainly speeding and reverse driving of motor vehicles,especially the behaviors of drivers.The data analysis in Eviews shows that there is a non-linear relationship between the predictions and road traffic accidents.The data of accidents and casualties in the next 3 years is predicted which shows a declining trend in road traffic accidents. |
| Keywords: data mining;OLAP;traffic accidents;prediction analysis |
