The invention belongs to the field of road network traffic safety, and relates to a vulnerability-based road network connectivity key section identification method, which comprises the following steps of: acquiring multi-source data of a target road network region; road alignment change points are set as road section division points based on the road alignment data, and static coarse-grained division of road sections is carried out; counting feature parameters of minimum road section units based on different features of the road sections, constructing feature vectors of the road section units, and performing dynamic fine-grained division on the road sections by using an ordered clustering algorithm; quantizing the vulnerability of the road section according to the road section characteristic value; and constructing a road network Bayesian network structure model to carry out key road section identification. According to the method, the influence of various factors on the road section is fused, the limitation of key road section recognition only depending on a single evaluation index is effectively overcome, and the comprehensiveness and accuracy of a recognition result are ensured; from the perspective of the potential interruption risk of the road section and the overall failure relationship of the road network, the importance of each road section in the road network is scientifically evaluated, and the reliability and practicability of the recognition result are improved.

    本发明属于公路网交通安全领域,涉及一种基于脆弱性的公路网连通性关键路段识别方法,包括获取目标公路网区域多源数据;基于道路线形数据将道路线形变化点设为路段划分点,进行路段的静态粗粒度划分;基于路段不同特征统计最小路段单元的特征参数,构建路段单元特征向量,使用有序聚类算法进行路段的动态细粒度划分;根据路段特征值量化路段脆弱性;构建公路网贝叶斯网络结构模型进行关键路段识别。本发明融合多种因素对路段的影响,有效克服仅依赖单一评价指标进行关键路段识别的局限性,确保识别结果的全面性和准确性;从路段潜在中断风险和路网整体失效关系的角度出发,科学地评估各路段在公路网中的重要性,提升识别结果的可靠度和实用性。


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    Title :

    Highway network connectivity key section identification method based on vulnerability


    Additional title:

    一种基于脆弱性的公路网连通性关键路段识别方法


    Contributors:
    WANG JIANGBO (author) / LI HUIZHE (author) / LIU KAI (author) / DAI SHUAI (author) / CHU ZHAOMING (author) / ZHU XINYU (author)

    Publication date :

    2024-05-31


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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