基于云模型的高速铁路引入铁路枢纽线路方案优选研究OA北大核心CSTPCDEI
Research on the railway location optimization selection for Introducing high-speed railways to railway hubs based on cloud model
针对高速铁路引入铁路枢纽线路方案设计所面临的多维环境影响、多重约束条件以及多元评价目标,建立科学的线路方案决策模型成为亟需解决的关键难题.以走得通、走得稳、走得好、走得省为目标,从5个维度选取30项指标建立高速铁路引入铁路枢纽线路方案优选的层次指标体系.采用改进的黄金分割法和云模型理论对定性指标进行系统量化后转化为灰色关联系数矩阵,度量决策信息的差异性和不确定性的同时还能衡量与目标序列趋势变化的趋同程度.为了提供科学客观和准确系统的决策支持,统筹VIKOR法和改进密切值法建立基于客观数据驱动的线路方案决策模型,从不同维度对备选方案进行全面评估;在深入分析沿线5个利益群体的利益诉求以及不利后果的基础上,引入Pythagorean模糊云模型理论优化了由于利益群体有限理性行为所引起的缺陷,并融合逼近理想解排序的思想建立了基于方案偏好驱动的线路方案决策模型,提高方案的可行性和可接受性.最后统筹考虑客观数据信息值以及方案偏好信息值进行综合决策,并结合工程实例对模型进行应用分析.结果表明:基于本模型的决策结果与工程实际具有较好的一致性,验证了模型的可靠性和适用性,为高速铁路引入铁路枢纽线路方案优化设计提供了一定的理论支持.
In view of the multi-dimensional environmental impacts,various constraints,and diverse evaluation objectives experienced by designing schemes for the introduction of high-speed railway into railroad hubs,establishment a scientific decision-making model becomes a key problem that needs to be solved urgently.With the goal of seamless connectivity,stable operations,optimal performance,and cost-effectiveness,30 indicators were selected from five dimensions to establish a hierarchical index system for the optimal introduction of high-speed railways into railway hub line.The improved golden section method and cloud modeling theory were employed to systematically quantify qualitative indicators,which were then transformed into a gray correlation coefficient matrix.This matrix measures the discrepancies and uncertainties in decision-making information while also assessing the degree of convergence with the trend changes in the target sequence.To provide scientific,objective,and accurate decision support,a comprehensive decision model for route planning was established by integrating the VIKOR method and the improved closeness value method,which were driven by objective data.This model enables a comprehensive evaluation of alternative schemes from various perspectives.Based on an in-depth analysis of the interests and adverse consequences of the five stakeholders along the route,the Pythagorean fuzzy cloud model was introduced to optimize the deficiencies caused by the limited rational behavior of stakeholder groups.By incorporating the idea of approximating the ideal solution ranking,a route planning decision model driven by solution preference was established,thereby enhancing the feasibility and acceptability of the proposed schemes.Finally,the decision-making process considered the information value of objective data and program preferences to guide the selection of programs.The model was then validated using engineering examples.The results show that the decisions made based on this model demonstrate favorable consistency with the actual engineering outcomes,validating the reliability and applicability of the model.This provides theoretical support for the optimization design of railway hub line plans with the introduction of high-speed railways.
王成祥;韩峰;刘泽龙
兰州交通大学 土木工程学院,甘肃 兰州 730070
交通运输
高速铁路铁路枢纽线路方案优选云模型客观数据驱动方案偏好驱动
high-speed railwayrailway hubrailway location optimization selectioncloud modelobjective data-drivenscheme preference-driven
《铁道科学与工程学报》 2024 (006)
2131-2141 / 11
国家自然科学基金资助项目(51568037);中央引导地方科技发展资金资助项目(22ZY1QA005)
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