首页> 外文期刊>Research journal of applied science, engineering and technology >Mountainous Freeway Risk Degree Forecast Model of Case Study: Mountainous Freeway Risk Degree Forecast Model of Case Study:
【24h】

Mountainous Freeway Risk Degree Forecast Model of Case Study: Mountainous Freeway Risk Degree Forecast Model of Case Study:

机译:案例研究山区高速公路风险度预测模型:案例研究山区高速公路风险度预测模型:

获取原文
       

摘要

The objective of this study is to establish the mountainous freeway risk degree forecast model. Highway safety, especially mountainous freeway, relates to person, vehicle, road and environment four aspects including many factors. Firstly, this study analyzed some researches about the highway safety from these four aspects respectively. Secondly, this study considered many factors of these four aspects, established the mountainous freeway risk degree forecast model, listed the survey content needed in the forecast model. Finally, this study took Changjin Freeway in Jiangxi Province, China as example, used 91 accident data from January, 2006 to July, 2012, adopted the multiple linear regression method using spss 17.0 to obtain each parameter value of the forecast model and analyzed some parameter values to the mountainous freeway safety. The mountainous freeway risk degree forecast model is necessary and useful to evaluate the risk degree for constructed mountainous freeway, to estimate the safety of unconstructed mountainous freeway and to provide basis to improve mountainous freeway safety.
机译:本研究的目的是建立山区高速公路危险度预测模型。公路安全,特别是山区高速公路,涉及人员,车辆,道路和环境四个方面,包括许多因素。首先,本研究分别从这四个方面分析了一些关于公路安全的研究。其次,本研究考虑了这四个方面的诸多因素,建立了山区高速公路危险度预测模型,并列出了预测模型中需要的调查内容。最后,以江西省长金高速公路为例,以2006年1月至2012年7月的91次事故数据为基础,采用spss 17.0的多元线性回归方法获得了预测模型的各个参数值​​,并对一些参数进行了分析。重视山区高速公路安全。山区高速公路风险度预测模型对于评价已建成山区高速公路的风险度,评估未修建山区高速公路的安全性,为提高山区高速公路安全性提供依据是必要和有用的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号