Older drivers and accidents: A meta analysis and data mining application on traffic accident data

被引：54

作者：

Bayam, E ^{[1
]}

Liebowitz, J ^{[1
]}

Agresti, W ^{[1
]}

机构：

[1] Johns Hopkins Univ, Grad Div Business & Management, Dept Informat Technol, Rockville, MD 20850 USA

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2005年 / 29卷 / 03期

关键词：

senior drivers; accidents; data mining; meta-analysis;

D O I：

10.1016/j.eswa.2005.04.025

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Teenage driving and associated accidents have been thoroughly studied. With the graying of our population in the United States, a focus on senior drivers and related accidents is needed. Unfortunately, there is not one comprehensive study that reviews the major existing studies conducted on senior drivers and accidents. In examining the literature, it also appears that data mining has rarely been applied in studying relationships between senior driver characteristics and accidents. This paper addresses these two needs by providing a meta-analysis of the existing literature on senior drivers and showing how data mining techniques could be used in this application. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：598 / 629

页数：32

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