The invention provides an accident data and characteristic factor-based accident multiple-occurrence point recommendation method, which solves the problem of poor adaptability of the existing traffic management system to different traffic scenes, and comprises the following steps of: obtaining accident parameters; carrying out dimensionality reduction on the accident corresponding matrix; performing clustering analysis on the matrix after dimension reduction; calculating an outlier factor LOF and eliminating outliers; and grading and ranking the multiple points. The method has the advantages of being good in accident analysis effect, good in adaptability to different traffic systems and the like.

    本发明提供了一种基于事故数据和特征因素的事故多发点推荐方法,它解决了现有交通管理系统对于不同交通场景适应性较差问题,其包括如下步骤:获取事故参数;对事故对应矩阵降维;对降维后的矩阵做聚类分析;计算离群因子LOF并剔除离群点;对多发点打分排名。本发明具有事故分析效果好、对于不同交通系统适应性好等优点。


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    Title :

    Accident data and feature factor-based accident multi-occurrence point recommendation method


    Additional title:

    一种基于事故数据和特征因素的事故多发点推荐方法


    Contributors:
    LIU ERGANG (author) / GU JUNJIE (author) / GU XIAOFENG (author) / TANG YELING (author) / WANG LILI (author) / XU YIHAO (author) / JI NUOYA (author) / TAN YUYUAN (author) / MA JICHAO (author) / WANG ZHUOFEI (author)

    Publication date :

    2022-12-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06K Erkennen von Daten , RECOGNITION OF DATA / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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