The invention discloses a road grading speed limiting method based on deep learning, and the method comprises the steps: obtaining expressway flow parameters, inputting the expressway flow parameters into a strategy model, and enabling the strategy model to output a grading speed limiting strategy based on the expressway flow parameters; inputting the grading speed limit strategy into an evaluation model, and outputting grading speed limit evaluation indexes by the evaluation model; and according to the evaluation index and based on a graded speed limiting strategy, adjusting a speed limiting indication sign arranged beside the expressway. According to the technical scheme provided by the invention, the traffic smoothness can be effectively improved, and the expressway graded speed limiting method based on deep learning has the advantages of high reliability, low cost and high expandability.

    本发明公开一种基于深度学习的道路分级限速方法,包括:获取高速公路流量参数,并将高速公路流量参数输入至策略模型中,策略模型基于高速公路流量参数输出分级限速策略;将分级限速策略输入至评价模型中,评价模型输出分级限速的评价指标;根据评价指标并基于分级限速策略调整设置于高速公路旁侧的限速指示标志。本申请所提供的技术方案可以有效提升交通流畅度,本申请基于深度学习的高速公路分级限速方法具有可靠性高、成本低、可扩展性强的优势。


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    Title :

    Road grading speed limiting method and device based on deep learning and storage medium


    Additional title:

    一种基于深度学习的道路分级限速方法、设备及存储介质


    Contributors:
    LI XIAOXIANG (author) / WANG FANG (author) / LIU WENQIANG (author) / YUE XINGCHEN (author)

    Publication date :

    2025-02-14


    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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