摘要
出行时间波动的评价计算是一个定量算法,人们对其的理解则是一个定性的模糊概念,要充分利用出行时间波动这一概念来研究相关的交通问题需实现定量向定性转化的过程.云模型能够实现用语言描述的定性概念与其定量表示之间的不确定性转换.基于此,文中提出了一种出行时间波动评价的新方法,即利用云模型进行出行时间波动评价.介绍了云模型的基本概念,提出了利用云模型评价出行时间波动的流程,即构建波动标准云,波动实际云并比较其相似度评价出行时间波动.利用南京市5路公交车线路的统计数据进行实例计算,说明该方法的具有普遍适用性.
The calculation of evaluation index about travel time variability is a quantitative evaluation of algorithms.But the understanding of travel time variability is a qualitative concept of fuzzy.In order to take advantage of travel time variability,we need achieve the transition from quantitative to qualitative procedures.Cloud model can achieve conversion between qualitative concept and its quantitative expression.So this paper proposes a new method for evaluating travel time variability.That is evaluation method of travel time variability based on cloud model.First,it introduces the basic concept of the cloud model.And then,it presents the processes using cloud model to evaluate travel time variability.Finally,it is proved that this method is useful with the statistical data of bus No.5Nanjing.
出处
《武汉理工大学学报（交通科学与工程版）》
2014年第5期1172-1175,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
出行时间波动
云模型
云相似度
travel time variability
cloud model
similarity of cloud
