The invention discloses an online space-time traffic flow prediction method, and relates to the technical field of traffic. The method comprises the following steps: constructing a cloud edge collaborative network; the cloud-edge collaborative network comprises a central cloud and a plurality of edge clouds which are matched with the central cloud; the central cloud is used for constructing a traffic flow prediction model based on self-supervised learning and a Transform mechanism; each edge cloud is used for collecting traffic data in real time; and inputting traffic data at the current moment acquired by the edge clouds into the traffic flow prediction model, performing space-time prediction by the traffic flow prediction model to obtain a traffic flow prediction result at the current moment, and updating the traffic flow prediction model according to a set period. The method can realize accurate prediction.

    本发明公开一种在线时空交通流预测方法,涉及交通技术领域。所述方法包括:构建云边协同网络;所述云边协同网络包括中心云以及与所述中心云练级的多个边缘云;所述中心云用于构建基于自监督学习和Transformer机制的交通流预测模型;各所述边缘云用于实时采集交通数据;将经各所述边缘云采集得到的当前时刻的交通数据输入所述交通流预测模型后,由所述交通流预测模型进行时空预测,得到当前时刻的交通流预测结果,并根据设定周期对所述交通流预测模型进行更新。本发明能够实现精确预测。


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    Titel :

    Online space-time traffic flow prediction method


    Weitere Titelangaben:

    一种在线时空交通流预测方法


    Beteiligte:
    XIAO JIANHUA (Autor:in) / XIAO HONGBO (Autor:in) / DING LIMING (Autor:in) / MI CHUNQIAO (Autor:in) / DENG XIAOWU (Autor:in)

    Erscheinungsdatum :

    20.12.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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