%0 Journal Article
%T 基于熵值法的航路交叉点复杂度改善方案评价模型<br>An Evaluation Model for Improving the Complexity of Crossing Points Based on Entropy Method
%A 赵立刚
%J Open Journal of Transportation Technologies
%P 304-310
%@ 2326-344X
%D 2020
%I Hans Publishing
%R 10.12677/OJTT.2020.94037
%X 本文提出了一种基于熵值法的航路交叉点复杂度改善方案评价模型。首先，确定影响航路交叉点复杂度的主要因素，构建相应的评价指标体系；然后，对原始数据进行无量纲化处理，计算各指标的信息熵，确定它们的指标权重，据此计算出方案的综合评价得分。本文以HCH (黄城VOR)复杂交叉点的四种改善方案为例，验证该模型的正确性，辅助选择最佳改善方案。<br />
This paper presents an evaluation model for improving the complexity of crossing points based on entropy method. Firstly, the main factors affecting the complexity of crossing points are determined and the corresponding evaluation index system is constructed. Then, the original data is processed dimensionless, the information entropy of each index is calculated, the index weight is determined, and the comprehensive evaluation score of the scheme is calculated accordingly. In this paper, four improvement schemes for the complex intersection of HCH (Huangcheng VOR) are taken as examples to verify the correctness of the model and assist in selecting the best improvement scheme.
%K 航路交叉点复杂度的改善策略，评价模型，信息熵<br>Improvement Strategy of Route Intersection Complexity
%K Evaluation Model
%K The Information Entropy
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=36483