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基于组合赋权-云模型的高速公路网交通韧性评价
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Evaluation of Traffic Resilience of Freeway Networks Based on Combined Weighting-Cloud Model
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    摘要:

    为了制定提升高速公路网交通韧性的策略,提出一种基于组合赋权-云模型的路网韧性评价方法. 首先,选取结构熵、边介数、聚类系数、路网密度4个路网拓扑结构指标和行程时间指数、路网流量非均匀指数2个交通运行状态指标,从路网拓扑结构与功能两方面对路网韧性进行综合评价. 其次,对路网韧性等级进行划分,确定各评价指标在不同韧性等级的阈值,并基于逆向云发生器计算云参数特征值及确定度. 随后,采用层次分析法和熵值法对指标进行组合赋权,通过加权平均得到不同韧性等级的隶属度,根据隶属度最大原则判定高速公路网韧性等级. 最后,以某高速公路网为例进行实证研究,将所提出的组合赋权-云模型评价方法与综合模糊评价法进行对比. 研究表明,二者的评价结果相近,但组合赋权-云模型评价方法克服了综合模糊评价法中随机性的缺陷,能更客观地反映路网的真实运行状态.

    Abstract:

    In a pursuit to develop strategies to amplify the resilience of freeway networks, this paper introduces an evaluation method of road resilience based on the combined weighting-cloud model. First, four topological structure indicators were selected, namely structure entropy, edge betweenness, freeway network density,and clustering coefficient, as well as two traffic status indicators: the travel time index and the traffic heterogeneity index. The resilience of the freeway network was comprehensively evaluated based on the topological structure and traffic status indicators. Then, the resilience of the freeway network was graded, the boundary values of evaluation indicators at different resilience levels were determined, and the characteristic values and certainty of the cloud parameters were estimated based on the backward cloud generator. Afterward, the indicators were weighted by combining the analytic hierarchy process and the entropy method. The membership degrees of different resilience levels were determined by calculating the weighted average, and the resilience level of the freeway network was detected according to the maximum membership degree. Finally, a case study was made for a freeway network to compare the combined weighting-cloud model method proposed in this study with the comprehensive fuzzy method. It is indicated from the research that the evaluation results of the two methods are similar. In contrast, the combined weighting-cloud model method reflects the actual status of the freeway network more objectively because it is free from the defect of randomness, which is included in the latter method.

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LI Jie, LIU Qiuqi, ZHANG Xinyu, WEI Yuanyuan, ZHANG Jingjing?.基于组合赋权-云模型的高速公路网交通韧性评价[J].湖南大学学报:自然科学版,2023,(11):224~234

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  • 在线发布日期: 2023-12-04
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