School of Civil Engineering, Xi'an University of Architecture & Technology, Xi'an, China.
Shaanxi Province Transport Planning Design and Research Institute, Xian, China.
PLoS One. 2022 Feb 25;17(2):e0262588. doi: 10.1371/journal.pone.0262588. eCollection 2022.
In order to accurately analyze and evaluate multi-index and multi-route traffic schemes for comparison and selection, we introduce herein a comprehensive weight and an intelligent selection algorithm for traffic scheme optimization to improve upon the shortcomings of common qualitative and quantitative analysis methods. Firstly, we establish an evaluation index system of transportation by traffic scheme considering the factors of technology, ecological environment, social environment, and economy, based on the whole life cycle. Secondly, the comprehensive weight based on subjective and objective factors is constructed. Finally, we establish an optimization method for transportation schemes by using the comprehensive weight and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model. The results show that the evaluation index system based on the whole life cycle is more comprehensive and accurate. The comprehensive weight vector avoids the defects of single weight methods and makes full use of subjective data and expert opinions. The comprehensive weight vector is introduced into the decision-maker's preference coefficient, so that analysts can determine the scheme according to the subjective and objective information and to the required accuracy. This method uses a large number of evaluation groups to evaluate the scheme, and the evaluation results show greater objectivity and efficiency.
为了准确分析和评估多指标、多路径的交通方案，以便进行比较和选择，我们引入了一种全面的权重和智能选择算法，用于优化交通方案，以弥补常用的定性和定量分析方法的不足。首先，我们基于全生命周期，建立了一个考虑技术、生态环境、社会环境和经济因素的交通方案评价指标体系。其次，构建了基于主客观因素的综合权重。最后，我们利用综合权重和理想解排序技术（TOPSIS）模型，建立了交通方案的优化方法。结果表明，基于全生命周期的评价指标体系更加全面和准确。综合权重向量避免了单一权重方法的缺陷，充分利用了主观数据和专家意见。综合权重向量被引入决策者的偏好系数中，以便分析人员能够根据主观和客观信息以及所需的精度来确定方案。该方法使用大量的评估组来评估方案，评估结果显示出更大的客观性和效率。
