The invention discloses a traffic flow prediction method and device based on a space-time sequence, a storage medium and computing equipment. The method comprises the following steps: training a traffic flow prediction model in advance; and obtaining the traffic flow at the current moment, inputting the traffic flow into the traffic flow prediction model, and predicting to obtain the traffic flow at the future moment. Wherein the traffic flow prediction model comprises a plurality of space-time blocks and a prediction module, and each space-time block comprises a space-time attention mechanism module which is used for extracting spatial correlation characteristics and temporal correlation characteristics of input traffic flow data; and the space-time convolution module is used for extracting space features and time features of the traffic flow data. The prediction method not only can provide high-accuracy traffic volume prediction and predict the effective change condition of the traffic flow, but also has low requirements on hardware and implementation cost and is easy to deploy and implement.

    本发明公开了一种基于时空序列的交通流量预测方法、装置、存储介质及计算设备,该方法包括:预先训练交通流量预测模型;获取当前时刻的交通流量输入所述交通流量预测模型中,预测得到未来时刻的交通流量。其中,交通流量预测模型包括多个时空块和预测模块,每个时空块均包括时空注意力机制模块,用于提取输入的交通流量数据的空间相关性特征和时间相关性特征;和时空卷积模块,用于提取交通流量数据的空间特征和时间特征。该预测方法不仅能够提供高准确度的交通量预测,预测出交通流量的有效变化情况,而且对硬件及实施成本要求低,易于部署实现。


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    Title :

    Traffic flow prediction method and device based on space-time sequence, storage medium and computing equipment


    Additional title:

    一种基于时空序列的交通流量预测方法、装置、存储介质及计算设备


    Contributors:
    RUI YIKANG (author) / LIU HAOYU (author) / RAN BIN (author) / ZHAO YAN (author)

    Publication date :

    2024-06-25


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



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