The invention discloses a low-delay real-time traffic prediction cloud platform coupling the Internet of Things and edge computing equipment. According to the invention, the image capturing device on the road is used to capture the traffic flow image, and then the edge computing device is used to carry out license plate positioning and identification on the traffic flow image at the local end, so that the traffic flow information passing through different positions is obtained, the data volume needing to be uploaded to the cloud platform is greatly reduced, the processing efficiency is improved, and the load of the cloud is reduced. Moreover, the acquisition of the vehicle information is only performed at the local end, so that a faster response speed can be provided, and the time delay of the cloud platform for acquiring the real-time traffic flow information is reduced. According to the method, all traffic flow track information in the whole prediction area can be aggregated on the cloud platform, and the traffic flow at the future moment is predicted through the traffic flow prediction model carried on the cloud platform.

    本发明公开了一种耦合物联网和边缘计算设备的低时延实时流量预测云平台。本发明采用道路上的图像抓拍设备抓取车流图像,然后在本地端通过边缘计算设备对其进行车牌定位和识别,从而获取经过不同位置的车流信息,从而大大减少需要上传至云平台的数据量,提升处理效率并减轻云端的负荷。而且,由于该车辆信息的获取仅在本地端进行,因此可提供更快的响应速度,降低云平台获取实时车流信息的时延。本发明可在云平台上聚合整个预测区域内的所有车流轨迹信息,并通过云平台上搭载的交通流量预测模型对未来时刻的交通流量进行预测。


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    Title :

    Low-delay real-time traffic prediction cloud platform coupling Internet of Things and edge computing device


    Additional title:

    耦合物联网和边缘计算设备的低时延实时流量预测云平台


    Contributors:
    SUN XIAOXIAO (author) / YE CHUNYI (author) / WANG XINFENG (author) / YU DONGJIN (author)

    Publication date :

    2023-01-06


    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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



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