The invention belongs to the technical field of computers, and particularly discloses a road congestion prediction method and device based on a training model, and the method comprises the steps: obtaining the road information of a to-be-predicted region; based on the road information, performing prediction processing through a pre-trained congestion prediction model to obtain a road congestion result; wherein the road information comprises at least one of the following items: a road image in the prediction area, road event information in the prediction area, time information and weather condition information. According to the invention, the road information in the region is predicted and calculated through the pre-trained congestion prediction model, and the road congestion result of whether the road in the current region is congested within a period of time is obtained. Therefore, the command center can realize congestion prediction at intersections with high traffic flow or intersections with crowded vehicles caused by accidental accidents in a non-fixed time period, so that the vehicle passing efficiency of urban roads in each region is improved.

    本申请属于计算机技术领域,具体公开了一种基于训练模型的道路拥堵预测方法及装置,其中方法包括:获取待预测区域的道路信息;基于道路信息,通过预先训练完成的拥堵预测模型进行预测处理,得到道路拥堵结果;其中,道路信息包括以下至少一项:预测区域内的道路图像、预测区域内的道路事件信息、时间信息和天气状况信息。本申请通过预训练完成的拥堵预测模型对区域内的道路信息进行预测计算,得到当前该区域的道路在一段时间内是否会出现拥堵情况的道路拥堵结果,使得指挥中心在非固定时间段出现高车流量的路口或者偶然发生事故导致车辆拥挤的路口也能实现拥堵预测,以此提高各区域城市道路的车辆通行效率。


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    Title :

    Training model-based road congestion prediction method and device


    Additional title:

    基于训练模型的道路拥堵预测方法及装置


    Contributors:
    XU YUAN (author) / LI CAN (author) / ZHANG LIANG (author)

    Publication date :

    2025-03-14


    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



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