Traffic Prediction Method and Apparatus, and Storage Medium

    公开(公告)号:US20240064064A1

    公开(公告)日:2024-02-22

    申请号:US18497499

    申请日:2023-10-30

    CPC classification number: H04L41/147 H04L43/0876

    Abstract: A traffic prediction method includes performing traffic autonomous zone division on a to-be-predicted geographic area based on geographic information data of the geographic area and crowd flow data of the geographic area to obtain a plurality of sub-areas; determining, for any sub-area, a crowd flow motif in the sub-area based on geographic information data of the sub-area and crowd flow data of the sub-area, where the crowd flow motif indicates a multi-point crowd motion pattern in the sub-area; determining a crowd flow feature of the sub-area based on the crowd flow motif; and predicting data traffic of the sub-area based on the crowd flow feature of the sub-area to obtain a data traffic prediction result of the sub-area.

    DATA PROCESSING METHOD AND DEVICE
    2.
    发明公开

    公开(公告)号:US20230237113A1

    公开(公告)日:2023-07-27

    申请号:US18191860

    申请日:2023-03-28

    CPC classification number: G06F16/9537 G06F16/2264

    Abstract: In a data processing method, a processing device performs encoding, based on spatial position data and time position data of a trajectory point of a trajectory according to an encoding rule of a hybrid code of a preset level in an index database, to obtain a hybrid code of each trajectory point. The hybrid code includes temporal information and spatial position information of the trajectory point. The processing device then queries a similar trajectory in the index database based on the hybrid code of each trajectory point. The index database includes hybrid codes of a plurality of levels, and the index database includes hybrid codes with trajectory information that includes a trajectory identifier and a trajectory length.

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