基于粗糙集理论的公交智能化调度评价方法

针对公交调度评价中各指标之间的相关性对评价结果的影响,采用粗糙集理论的属性约简方法来实现对调度方案的合理评价。从乘客满意度、经济效益、调度技术水平三方面分别选取各主要影响指标,并根据三级划分标准确定各指标的属性区间。通过对指标的量化区间进行离散化处理,建立区分矩阵,从而约简公交调度指标并对方案进行模糊评价。最后以某线路公交运营调度的三种方案：全程车、区间车、大站快车为例说明方法的可行性。结果表明：粗糙集属性约简方法可避免冗余信息对评价结果的影响,简化评价工作的运算量。

A Rough-Set-based Evaluation Method for Intelligent Transit Dispatching

In order to remove the impact of correlations among indices onto the evaluation results,an attribute reduction method based on rough set theory is applied to the evaluation of transit dispatching.First,major evaluation indices are collected from the following three aspects： passenger satisfaction,economy,and scheduling techniques.Attribute measures are divided into three different intervals.And then a discernibility matrix is developed through discretizing index intervals.Consequently transit dispatching indices are reduced and schemes are evaluated with the fuzzy method.Finally,the feasibility of the proposed method is illustrated by three scheduling schemes applied to Regular,Through and Express bus routes.The study results indicate that the impact of redundant information is avoided and evaluation processes are simplified with the attribute reduction method.