1673-159X

CN 51-1686/N

基于信息熵TOPSIS的公交线网优化方案排序

The Optimization Scheme of Public Traffic Network based on Information Entropy and TOPSIS

  • 摘要: 在给出公交线网的优化原则、约束条件和目标函数的基础上,运用多目标决策方法TOPSIS法对公交线网优化方案进行排序。该方法首先构造评价指标的特征矩阵,运用信息熵理论将指标的熵值数据处理后作为指标的客观权重,克服了以往公交线网优化中对目标函数取权重时的主观性;其次通过将客观权重与欧几里得距离进行加权来计算距离尺度,使得优化方案与最优方案的距离计算更加准确;最后以优化方案与最优方案的接近程度作为依据对优化方案进行排序。应用实例表明该模型能较好地解决优化目标的权重分配问题,对公交线网的优化调整是有效、实用的,且优化过程简单,优化结果合理。

     

    Abstract: The multi-objective decision method-TOPSIS is used to sort the public traffic network optimization scheme on the basis of optimization principle, the constraints and objective function of public traffic network in this paper. In this method, firstly characteristic matrix of evaluation index is construct, and the data are processed using the information entropy theory, and the data are used as the objective weight of indexes, overcoming the subjectivity of the weight of public traffic network optimization in the past; secondly, the objective weights and the Euclidean distance are weighted to calculate the distance scale, prompting the calculation of distance between optimization solutions and the optimal one is more accurate; finally, the optimization scheme is sorted based on the close degree of optimization scheme and the optimal solution. Application examples show that the model can better solve the weight distribution problem of optimization objectives. The model is effective to the optimization and adjustment of the public traffic network is effective, and it is effective, practical, simple, reasonable and in line with the actual situation.

     

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