Mining Road Accident Data Based On Diverted Attention of Drivers

被引：0
|
作者：
Helen, W. R. [1 ]
Almelu, N. [1 ]
Nivethitha, S. [1 ]
机构：
[1] SASTRA Deemed Be Univ, Sch Comp, Thanjavur, India
来源：
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS) | 2018年
关键词：
Data mining; Road Accident Analysis; K-means;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Road traffic accidents are a major health concern across the globe. Annually, about 1.25 million people are believed to be victims of road traffic crashes. In this paper, we have used data mining methods to analyze the data provided by Fatality Analysis Reporting System (FARS). Our intention is extracting factors pertaining to the diverted attention of drivers rather than the environmental factors causing the accident. The results obtained, can be used to plan safeguard estimates to reduce road accidents.
引用
收藏
页码：245 / 249
页数：5
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