The invention relates to a Canopy-FCM-based method for identifying an accident-prone road section, in particular to a Canopy-FCM-based method for identifying an accident-prone road section. The invention relates to the Canopy-FCM-based method for identifying the accident-prone road section. The method comprises the following steps: 1, screening traffic accident risk factors in combination with a traffic accident data set; 2, clustering accident sample risk factors by using an improved Canopy algorithm, and determining a final clustering group number by using an isolated sample discrimination mechanism; 3, taking a clustering center corresponding to each clustering group in the obtained clustering group number as an initial clustering center of an FCM algorithm, and clustering the traffic accident risk factors to obtain a final traffic accident sample group; 4, drawing an accident frequency box diagram for each group of traffic accident samples obtained by FCM clustering; and according to a box diagram quartile method principle, taking a road section corresponding to a sample point of which the accident number is greater than Q3 + 1.5 IQR as an accident-prone road section. The invention belongs to the field of accident-prone road section identification.

    一种基于Canopy‑FCM的事故多发路段鉴别方法,本发明涉及基于Canopy‑FCM的事故多发路段鉴别方法。过程为:1:结合交通事故数据集,筛选出交通事故风险因子;2:利用改进Canopy算法对事故样本风险因子进行聚类,采用孤立样本判别机制确定最终的聚类组数;3:以得到的聚类组数中每个聚类组对应的聚类中心作为FCM算法的初始聚类中心,对交通事故风险因子进行聚类,得到最终的交通事故样本分组;4:对FCM聚类得到的各组交通事故样本绘制事故频次箱型图;根据箱型图四分位法原理,取事故数大于Q3+1.5IQR的样本点对应的路段即为事故多发路段。本发明属于事故多发路段鉴别的领域。


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    Title :

    Accident-prone road section identification method based on Canopy-FCM


    Additional title:

    一种基于Canopy-FCM的事故多发路段鉴别方法


    Contributors:
    MENG XIANGHAI (author) / WANG GUORUI (author) / TIAN BIJIANG (author) / ZHANG MINGYANG (author) / CHENG XINYING (author)

    Publication date :

    2023-12-05


    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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung




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