The invention relates to a traffic accident early warning system, in particular to an Internet of Things traffic accident detection and early warning method and device based on edge calculation and machine learning. In order to solve the problems existing in traffic accident processing at present, the invention designs an Internet of Things traffic accident detection and early warning method and device based on edge calculation and machine learning of a cloud-edge-end architecture, a traffic accident occurrence probability prediction model can be updated in real time, an edge calculation mode is adopted, and the traffic accident occurrence probability prediction model can be updated in real time. The stability of the system is enhanced, real-time processing and analysis can be carried out through the monitoring video in the traffic road, errors are reduced, the communication speed is increased, and the reliability of the system is also improved.

    本发明设计一种交通事故预警系统,具体为一种基于边缘计算和机器学习的物联网交通事故检测、预警方法与装置。针对目前交通事故处理中存在的问题,本发明设计了一种基于“云‑边‑端”架构的边缘计算和机器学习的物联网交通事故检测与预警方法与装置,能够实时更新车祸发生概率预测模型的同时,还采用了边缘计算的方式,既增强了系统的稳定性,又能够通过交通道路中的监控视频进行实时处理与分析,降低了误差,提升了通信速度,也提高了系统的可靠性。


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    Title :

    Traffic accident early warning method based on edge calculation and machine learning


    Additional title:

    一种基于边缘计算和机器学习的交通事故预警方法


    Contributors:
    LI QINGFENG (author) / CHEN JIAJUN (author) / JIANG DESEN (author) / LUO JUN (author) / CHEN YU'AO (author) / TANG XIAO (author)

    Publication date :

    2024-04-05


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    H04L TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION , Übertragung digitaler Information, z.B. Telegrafieverkehr / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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