The invention relates to the field of urban computing, and provides a traffic state prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving first traffic state data in a historical time period; and respectively performing spatial-temporal correlation extraction and time domain change extraction based on the first traffic state data, and determining second traffic state data in a future time period based on a result of the spatial-temporal correlation extraction and a result of the time domain change extraction. The spatial-temporal correlation extraction and the time domain change extraction can be respectively performed based on the first traffic state data, so that the nonlinear features and the spatial-temporal correlation features hidden in the first traffic state data can be obtained, the reliability of the output data is higher, the precision of the traffic state prediction result is improved, and the prediction efficiency is improved. The problem that an existing traffic state prediction method is low in prediction result precision is solved.

    本发明涉及城市计算领域,提供一种交通状态预测方法、装置、电子设备及存储介质,方法包括:接收历史时段内的第一交通状态数据;基于第一交通状态数据分别进行时空相关性提取和时域变化提取,并基于时空相关性提取的结果和时域变化提取的结果,确定未来时段内的第二交通状态数据。由于可以基于第一交通状态数据分别进行时空相关性提取和时域变化提取,能够获取第一交通状态数据中隐藏的非线性特征和时空关联性特征,使得输出数据可靠性更高,提高了交通状态预测结果的精度,解决了现有的交通状态预测方法预测结果精度低的问题。


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    Titel :

    Traffic state prediction method and device, electronic equipment and storage medium


    Weitere Titelangaben:

    交通状态预测方法、装置、电子设备及存储介质


    Beteiligte:
    LI YONG (Autor:in) / YAN HUAN (Autor:in) / LEE BU-HYUN (Autor:in) / JIN DEPENG (Autor:in)

    Erscheinungsdatum :

    2023-01-20


    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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