华东交通大学学报2017，Vol.34Issue(2)：29-36,8.
基于决策树方法的偏远地区山区公路驾驶安全性研究
Analysis of Driving Safety on Mountain Highway in Remote Areas Based on Decision Tree Method
摘要
Abstract
The combination of complex driving environment factors and the lack of accident data make the analy-sis of driving safety on mountain highway difficult. This paper proposed a complete set of experimental methods for driving safety on mountain highway and provided a decision tree method combining with Random Forest method to identify the main factors leading to accidents. By using automobile data recorder and radio frequency identification, the experimental team obtained information about the driving environment and drivers ' behaviors. The approach of maximum gain ratio and Akaike information criterion are adopted to analyze and summarize the main driving environment factors involved in the model. The results showed that sharp road curvatures, traveling through villages and lack of sight distance are the main factors for driving safety on mountain highway. It is con-firmed that this approach can provide reference for the design of mountain highway to improve driving safety.关键词
驾驶安全性实验/驾驶环境因素/决策树分类Key words
driving safety experiment/driving environment factors/decision tree method分类
交通工程引用本文复制引用
李卓,陈雨人..基于决策树方法的偏远地区山区公路驾驶安全性研究[J].华东交通大学学报,2017,34(2):29-36,8.基金项目
国家科技支撑计划课题(2014BAG01B06) （2014BAG01B06）
