The invention discloses a traffic accident real-time detection and early warning method based on a Seq2Seq auto-encoder model. Firstly, in order to analyze traffic element sequence data and traffic flow anomaly characteristics before and after a traffic accident, a set of traffic anomaly detection model and early warning process based on a Seq2Seq auto-encoder is established; secondly, an Attention mechanism is introduced on the basis of the Seq2Seq model so as to capture important traffic state characteristics; and then, in the aspect of traffic state abnormity judgment, real-time detection of traffic accidents and classification of accident risk levels are realized according to a preset threshold value by comparing reconstruction errors of original data and prediction data.

    本申请公开了一种基于Seq2Seq自编码器模型的交通事故实时检测和预警方法。首先,为了分析交通事故前后的交通要素序列数据和交通流异常的特征,本发明建立了一套基于Seq2Seq自编码器的交通异常检测模型和预警流程。其次,本发明在Seq2Seq模型的基础上引入了Attention机制以捕捉重要的交通状态特征。然后,在交通状态异常判定方面,通过对比原始数据和预测数据的重构误差,并根据设定的阈值实现交通事故的实时检测和事故风险等级的划分。


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    Titel :

    Traffic accident real-time detection and early warning method based on Seq2Seq auto-encoder model


    Weitere Titelangaben:

    一种基于Seq2Seq自编码器模型的交通事故实时检测和预警方法


    Beteiligte:
    WU JIAN (Autor:in) / ZHAO CHAO (Autor:in)

    Erscheinungsdatum :

    18.01.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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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