华东交通大学学报2017，Vol.34Issue(6)：66-71,6.
基于粗糙集的道路交通事故客观因素显著性分析
Analysis of Objective Factors of Road Traffic Accidents Based on Rough Set Theory
摘要
Abstract
Due to the huge road traffic accident data, it is primitive and flat to use the traditional method of ana-lyzing the objective factors for traffic accidents, which fails to fully exploit the potential link among data. Digging out valuable information from a large number of traffic accident data through the data mining technology has be-come a hot topic in the field of traffic safety research at present. Aiming at the shortcomings of traditional statis-tical data analysis methods, this paper, through traffic accident data, established a new numerical model based on the rough set theory. Through this numerical model, the objective factors of the accidents were extracted from the traffic accident data. The objective factors are ranked by the calculation of objective factor significance. The research results show that the effects of objective factors on the traffic accident are different, which may provide some reference for the formulation of the traffic safety policy in the future.关键词
交通安全/数据挖掘/客观因素分析/显著性/粗糙集Key words
traffic safety/data mining/objective factor analysis/significance/rough set分类
交通工程引用本文复制引用
徐鹏,蒋凯,王泽华,朱正..基于粗糙集的道路交通事故客观因素显著性分析[J].华东交通大学学报,2017,34(6):66-71,6.基金项目
江苏省自然科学基金面上项目(BK20151497) （BK20151497）
