首页> 外文期刊>MATEC Web of Conferences >Intrinsic Safety Evaluation for Urban Road Traffic Based on Information Entropy and Triangular Fuzzy Number
【24h】

Intrinsic Safety Evaluation for Urban Road Traffic Based on Information Entropy and Triangular Fuzzy Number

机译:基于信息熵和三角模糊数的城市道路交通本安评价

获取原文
           

摘要

Road traffic safety is a major problem, especially in low-and middle-income countries. This study attempted to evaluate traffic safety based on the concept of intrinsic safety, which can provide theoretical support for the road traffic management departments. The evaluation weight calculation about the pre-weight of the second level evaluation index based on the information entropy, and then calculates the final weight by combing qualitative and quantitative methods. The weight of the third level evaluation index using the triangular fuzzy number method. In order to verify the effectiveness and feasibility of the method via a case study. by computing the proportions of evaluation indexes based on the model, we found that the ranking is intrinsic humanintrinsic road and environmentintrinsic vehicle. However, the gap about the proportion of the three is small. Furthermore, the sub factors ranking influencing factors as follows: the human's alertness = road and the environment’s completenessvehicle’s technicalhuman’s self-consciousness natural conditions vehicle’s maintenance. Given the objectivity of the model in the paper, especially using the entropy weight method to calculate the weight of the index factors. The result of the evaluation for the model is similar with current situation of road traffic safety, thus, it can be taken as a valuable reference to promoting the traffic safety. So it can provide theoretical basis for urban road transport departments to formulate relevant policies.
机译:道路交通安全是一个主要问题,尤其是在中低收入国家。本研究试图基于本质安全的概念对交通安全进行评价,为道路交通管理部门提供理论支持。基于信息熵对二级评价指标的预权重进行评价权重计算,然后通过定性和定量相结合的方法计算最终权重。第三级评价指标的权重采用三角模糊数法。为了通过案例研究验证该方法的有效性和可行性。通过基于模型计算评价指标的比例,我们发现该排名是人类固有的>内部道路与环境>内部车辆。但是,这三个比例之间的差距很小。此外,将影响因素排序的子因素如下:人类的警觉性=道路和环境的完整性>车辆的技术>人类的自我意识>自然条件>车辆的维护。鉴于本文模型的客观性,特别是采用熵权法计算指标因子的权重。该模型的评估结果与道路交通安全的现状相似,可以作为促进交通安全的有价值的参考。为城市道路运输部门制定相关政策提供理论依据。

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