The invention provides a highway traffic anomaly detection method, which comprises the following steps of: constructing traffic data containing abnormal data into a three-dimensional tensor of position * time * date according to three dimensions of place, time and date, and constructing a traffic anomaly data detection model based on a low-rank tensor through an automatic weighting nuclear norm algorithm; constructing an augmented Lagrange function of the model, converting a multivariable solution problem of the model into four simple single-variant quantum solution problems by using an ADMM framework, and iteratively optimizing four variables # imgabs0 # by using an alternating direction multiplier algorithm until a convergence condition is met; according to an anomaly detection low-rank tensor model, a normal traffic state mode is recovered and traffic anomaly is explicitly detected from data in which missing and noise exist at the same time; the sparse tensor effectively detects traffic anomalies of a highway network level scale, and the low-rank tensor captures a normal traffic mode.

    本发明提出了一种高速公路交通异常检测方法,包括,按地点、时间、日期三个维度,将包含异常数据的交通数据构建为位置×时间×日期的三维张量,通过自动加权核范数算法,构建基于低秩张量的交通异常数据检测模型;构建模型的增广拉格朗日函数,利用ADMM框架,将模型的多变量求解问题转化为四个简单的单变量子求解问题,利用交替方向乘子算法迭代优化四个变量#imgabs0#直至满足收敛条件;本发明根据异常检测低秩张量模型,从同时存在缺失和噪声的数据中恢复正常交通状态模式和显式检测交通异常;稀疏张量有效的检测高速路网级规模的交通异常,低秩张量捕获正常交通模式。


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    Title :

    Expressway traffic anomaly detection method


    Additional title:

    一种高速公路交通异常检测方法


    Contributors:
    LYU CHEN (author) / SUN LIN (author) / DING BO (author) / ZHOU ZIJING (author) / ZHOU JUN (author) / LU KAI (author)

    Publication date :

    2024-04-26


    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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