The invention relates to the technical field of traffic congestion identification, in particular to a traffic network congestion identification method based on data fusion. The method comprises the steps that a speed sequence is obtained, and then a emphasized analysis sequence is obtained; wave trough credibility and wave crest credibility are obtained, and credible wave trough points and credible wave crest points are obtained; obtaining a sampling mean value according to the credible wave trough point and the credible wave crest point, and further calculating the credibility of the emphasized analysis sequence; calculating the stability and turning point probability of each data point in the emphasis analysis sequence, and screening the data points to obtain key points; obtaining a contrast sequence pair, respectively calculating the stability degree of each sequence in the contrast sequence pair, selecting the sequence with the high stability degree as the contrast sequence, and obtaining the confidence coefficient of each emphasized analysis sequence; obtaining a self-adaptive weight according to the confidence coefficient and the credibility of the emphasized analysis sequence; and obtaining the vehicle passing speed in the time period according to the adaptive weight, and carrying out congestion identification. According to the invention, the accuracy of traffic jam identification can be improved.

    本发明涉及交通拥堵识别技术领域,具体涉及一种基于数据融合的交通网络拥堵识别方法。该方法包括:获得速度序列,进而得到着重分析序列;获取波谷可信度和波峰可信度,得到可信波谷点和可信波峰点;根据可信波谷点和可信波峰点得到抽样均值,进而计算着重分析序列的可信度;计算着重分析序列中各数据点的平稳度和转折点概率,并对数据点筛选获得关键点;获取对照序列对,分别计算对照序列对中每个序列的平稳程度,选取平稳程度大的序列作为对照序列,得到每个着重分析序列的置信度;根据着重分析序列的置信度和可信度获得自适应权重;根据自适应权重获取该时段的车辆通过速度并进行拥堵识别。本发明能够提高交通拥堵的识别的准确性。


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    Title :

    Traffic network congestion identification method based on data fusion


    Additional title:

    基于数据融合的交通网络拥堵识别方法


    Contributors:
    YANG YANG (author)

    Publication date :

    2025-04-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    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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