Accident prediction of urban rail transportation based on grey theory

被引：0

作者：

Dai Bao-qian ^{[1
]}

Wang Tong ^{[1
]}

Qin Yue-ping ^{[1
]}

机构：

[1] China Univ Min & Technol, Beijing 100083, Peoples R China

来源：

PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON PUBLIC ADMINISTRATION (3RD), VOL I | 2007年

关键词：

urban rail transportation; grey theory; accident prediction;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

In subway system, once accidents occur-red, the outcome would be so terrible that one could imagine. In recent years, some accidents indicate that safety is a lifeline of urban railway transportation system. Therefore, urban railway transportation system should build an effective accident prediction system. The paper analyses urban railway transportation accidents, according to the accidental data of 1.0 years from 1997 to 2006, accident prediction model is established. The future accident is, prediction using grey theory. The result of prediction will help to prevent accidents and reduce loss of accidents for operation subway..

引用

页码：226 / 230

页数：5